MacBook Pro (13-inch, 2022)
Geekbench ML Score
5957
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 19 2025 06:28 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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% |
3550
664.2 IPS |
|
|
Image Classification (F16)
|
100% |
3509
656.7 IPS |
|
|
Image Classification (I8)
|
99% |
3493
653.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1460
24.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1419
23.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1494
25.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23593
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25716
31.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
24820
30.1 IPS |
|
|
Object Detection (F32)
|
100% |
2833
211.5 IPS |
|
|
Object Detection (F16)
|
100% |
2895
216.1 IPS |
|
|
Object Detection (I8)
|
97% |
2815
210.1 IPS |
|
|
Face Detection (F32)
|
100% |
9493
112.9 IPS |
|
|
Face Detection (F16)
|
98% |
10998
130.8 IPS |
|
|
Face Detection (I8)
|
97% |
9889
117.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16487
127.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17733
137.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
17300
134.2 IPS |
|
|
Style Transfer (F32)
|
100% |
41622
54.8 IPS |
|
|
Style Transfer (F16)
|
100% |
47693
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47648
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7368
263.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7505
268.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6020
215.0 IPS |
|
|
Text Classification (F32)
|
100% |
2099
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3439
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3458
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
971
17.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1012
18.6 IPS |
|
|
Machine Translation (I8)
|
99% |
946
17.4 IPS |
