MacBook Pro (13-inch, 2022)
Geekbench ML Score
5476
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 17 2025 07:06 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 3.47 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2152
402.7 IPS |
|
|
Image Classification (F16)
|
100% |
3319
621.1 IPS |
|
|
Image Classification (I8)
|
99% |
3016
564.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1510
25.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1326
22.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
963
16.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22070
26.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
25036
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
25146
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
2830
211.3 IPS |
|
|
Object Detection (F16)
|
100% |
2910
217.3 IPS |
|
|
Object Detection (I8)
|
97% |
1765
131.8 IPS |
|
|
Face Detection (F32)
|
100% |
4577
54.4 IPS |
|
|
Face Detection (F16)
|
98% |
10205
121.3 IPS |
|
|
Face Detection (I8)
|
97% |
10172
121.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16084
124.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
17119
132.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
17317
134.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40890
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
42328
55.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47463
62.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7229
258.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7713
275.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11182
399.4 IPS |
|
|
Text Classification (F32)
|
100% |
2089
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3404
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3446
4.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
861
15.8 IPS |
|
|
Machine Translation (F16)
|
100% |
856
15.8 IPS |
|
|
Machine Translation (I8)
|
99% |
814
15.0 IPS |
