MacBook Pro (13-inch, 2022)
Geekbench ML Score
5204
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 12:35 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2767
517.9 IPS |
|
|
Image Classification (F16)
|
100% |
4806
899.4 IPS |
|
|
Image Classification (I8)
|
99% |
5044
943.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
991
16.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1009
16.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1016
17.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
20875
25.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
54171
65.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
54764
66.3 IPS |
|
|
Object Detection (F32)
|
100% |
2232
166.7 IPS |
|
|
Object Detection (F16)
|
100% |
2929
218.6 IPS |
|
|
Object Detection (I8)
|
97% |
1982
148.0 IPS |
|
|
Face Detection (F32)
|
100% |
8481
100.8 IPS |
|
|
Face Detection (F16)
|
97% |
7780
92.5 IPS |
|
|
Face Detection (I8)
|
96% |
7884
93.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15557
120.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
31513
244.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
31414
243.6 IPS |
|
|
Style Transfer (F32)
|
100% |
38044
50.0 IPS |
|
|
Style Transfer (F16)
|
100% |
102209
134.4 IPS |
|
|
Style Transfer (I8)
|
100% |
104253
137.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6538
233.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13121
468.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13657
487.7 IPS |
|
|
Text Classification (F32)
|
100% |
290
416.9 IPS |
|
|
Text Classification (F16)
|
100% |
330
474.9 IPS |
|
|
Text Classification (I8)
|
96% |
331
475.0 IPS |
|
|
Machine Translation (F32)
|
100% |
537
9.88 IPS |
|
|
Machine Translation (F16)
|
100% |
1680
30.9 IPS |
|
|
Machine Translation (I8)
|
99% |
520
9.58 IPS |
