MacBook Pro (13-inch, 2022)
Geekbench ML Score
5685
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 30 2025 06:43 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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% |
2472
462.6 IPS |
|
|
Image Classification (F16)
|
100% |
3255
609.1 IPS |
|
|
Image Classification (I8)
|
99% |
3339
624.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
876
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1019
17.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1578
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22945
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
25574
31.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
25856
31.3 IPS |
|
|
Object Detection (F32)
|
100% |
2646
197.6 IPS |
|
|
Object Detection (F16)
|
100% |
2904
216.8 IPS |
|
|
Object Detection (I8)
|
97% |
2789
208.2 IPS |
|
|
Face Detection (F32)
|
100% |
7325
87.1 IPS |
|
|
Face Detection (F16)
|
98% |
10628
126.4 IPS |
|
|
Face Detection (I8)
|
97% |
10709
127.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15000
116.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17434
135.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
16549
128.3 IPS |
|
|
Style Transfer (F32)
|
100% |
41373
54.4 IPS |
|
|
Style Transfer (F16)
|
100% |
44887
59.0 IPS |
|
|
Style Transfer (I8)
|
100% |
47713
62.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7137
254.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9422
336.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7657
273.4 IPS |
|
|
Text Classification (F32)
|
100% |
2118
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3509
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3422
4.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
898
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1025
18.9 IPS |
|
|
Machine Translation (I8)
|
99% |
929
17.1 IPS |
