MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
8424
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 12:14 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 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 | 18.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5375
1.01 KIPS |
|
|
Image Classification (F16)
|
100% |
6238
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6600
1.24 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1240
20.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1286
21.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1299
21.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
41335
50.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
79297
96.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
80039
96.9 IPS |
|
|
Object Detection (F32)
|
100% |
3554
265.3 IPS |
|
|
Object Detection (F16)
|
100% |
3958
295.5 IPS |
|
|
Object Detection (I8)
|
97% |
3327
248.4 IPS |
|
|
Face Detection (F32)
|
100% |
13557
161.2 IPS |
|
|
Face Detection (F16)
|
97% |
11076
131.7 IPS |
|
|
Face Detection (I8)
|
96% |
11034
131.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
26491
205.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
37661
292.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
42161
327.0 IPS |
|
|
Style Transfer (F32)
|
100% |
80051
105.3 IPS |
|
|
Style Transfer (F16)
|
100% |
132567
174.4 IPS |
|
|
Style Transfer (I8)
|
100% |
132027
173.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8331
297.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19242
687.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18763
670.1 IPS |
|
|
Text Classification (F32)
|
100% |
418
601.1 IPS |
|
|
Text Classification (F16)
|
100% |
2972
4.27 KIPS |
|
|
Text Classification (I8)
|
96% |
2960
4.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
622
11.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2553
47.0 IPS |
|
|
Machine Translation (I8)
|
99% |
605
11.1 IPS |
