MacBook Pro (13-inch, 2022)
Geekbench ML Score
5773
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 16 2025 06:44 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.48 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% |
3432
642.2 IPS |
|
|
Image Classification (F16)
|
100% |
3523
659.2 IPS |
|
|
Image Classification (I8)
|
99% |
3467
648.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1420
23.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1272
21.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1379
23.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23069
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25470
30.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
23423
28.4 IPS |
|
|
Object Detection (F32)
|
100% |
2547
190.1 IPS |
|
|
Object Detection (F16)
|
100% |
2803
209.2 IPS |
|
|
Object Detection (I8)
|
97% |
2614
195.1 IPS |
|
|
Face Detection (F32)
|
100% |
9368
111.4 IPS |
|
|
Face Detection (F16)
|
98% |
10801
128.4 IPS |
|
|
Face Detection (I8)
|
97% |
10829
128.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16434
127.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17830
138.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
14659
113.7 IPS |
|
|
Style Transfer (F32)
|
100% |
41404
54.5 IPS |
|
|
Style Transfer (F16)
|
100% |
47646
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47715
62.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7144
255.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7420
265.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7776
277.7 IPS |
|
|
Text Classification (F32)
|
100% |
2102
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3581
5.15 KIPS |
|
|
Text Classification (I8)
|
96% |
3151
4.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
799
14.7 IPS |
|
|
Machine Translation (F16)
|
100% |
864
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
869
16.0 IPS |
