MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
9638
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 06:24 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6352
1.19 KIPS |
|
|
Image Classification (F16)
|
100% |
6720
1.26 KIPS |
|
|
Image Classification (I8)
|
99% |
6739
1.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2896
48.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2523
42.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
2521
42.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
62522
75.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
91621
110.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
90806
110.0 IPS |
|
|
Object Detection (F32)
|
100% |
5008
373.9 IPS |
|
|
Object Detection (F16)
|
100% |
4223
315.3 IPS |
|
|
Object Detection (I8)
|
97% |
4744
354.2 IPS |
|
|
Face Detection (F32)
|
100% |
21220
252.3 IPS |
|
|
Face Detection (F16)
|
97% |
12060
143.4 IPS |
|
|
Face Detection (I8)
|
96% |
12073
143.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
31338
243.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
35492
275.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
36362
282.0 IPS |
|
|
Style Transfer (F32)
|
100% |
127021
167.1 IPS |
|
|
Style Transfer (F16)
|
100% |
143078
188.2 IPS |
|
|
Style Transfer (I8)
|
100% |
141034
185.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11299
403.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18352
655.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16822
600.8 IPS |
|
|
Text Classification (F32)
|
100% |
1261
1.81 KIPS |
|
|
Text Classification (F16)
|
100% |
879
1.26 KIPS |
|
|
Text Classification (I8)
|
96% |
607
873.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1151
21.2 IPS |
|
|
Machine Translation (F16)
|
99% |
1192
21.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1162
21.4 IPS |
