MacBook Pro (13-inch, 2022)
Geekbench ML Score
5824
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 15 2025 02:39 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| 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 | 3.18 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% |
3437
643.1 IPS |
|
|
Image Classification (F16)
|
100% |
3331
623.3 IPS |
|
|
Image Classification (I8)
|
99% |
3573
668.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1289
21.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1437
24.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1242
20.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23120
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25501
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
24549
29.7 IPS |
|
|
Object Detection (F32)
|
100% |
2785
207.9 IPS |
|
|
Object Detection (F16)
|
100% |
2926
218.5 IPS |
|
|
Object Detection (I8)
|
97% |
2843
212.3 IPS |
|
|
Face Detection (F32)
|
100% |
7186
85.4 IPS |
|
|
Face Detection (F16)
|
98% |
10743
127.7 IPS |
|
|
Face Detection (I8)
|
97% |
10645
126.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16073
124.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17816
138.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
17396
134.9 IPS |
|
|
Style Transfer (F32)
|
100% |
41271
54.3 IPS |
|
|
Style Transfer (F16)
|
100% |
45513
59.9 IPS |
|
|
Style Transfer (I8)
|
100% |
47086
61.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9445
337.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9005
321.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9940
355.0 IPS |
|
|
Text Classification (F32)
|
100% |
2074
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3484
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
3463
4.98 KIPS |
|
|
Machine Translation (F32)
|
0% |
722
13.3 IPS |
|
|
Machine Translation (F16)
|
0% |
733
13.5 IPS |
|
|
Machine Translation (I8)
|
0% |
708
13.0 IPS |
