MacBook Pro (13-inch, 2022)
Geekbench ML Score
5646
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 23 2025 06:56 PM |
| Views | 4 |
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 | 3.22 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% |
2469
462.0 IPS |
|
|
Image Classification (F16)
|
100% |
3230
604.4 IPS |
|
|
Image Classification (I8)
|
99% |
3296
616.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1220
20.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1036
17.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1144
19.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
20907
25.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
24080
29.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
22366
27.1 IPS |
|
|
Object Detection (F32)
|
100% |
2467
184.2 IPS |
|
|
Object Detection (F16)
|
100% |
2471
184.5 IPS |
|
|
Object Detection (I8)
|
97% |
2446
182.6 IPS |
|
|
Face Detection (F32)
|
100% |
8690
103.3 IPS |
|
|
Face Detection (F16)
|
98% |
10175
121.0 IPS |
|
|
Face Detection (I8)
|
97% |
9884
117.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15500
120.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
17149
133.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
15175
117.7 IPS |
|
|
Style Transfer (F32)
|
100% |
38763
51.0 IPS |
|
|
Style Transfer (F16)
|
100% |
45607
60.0 IPS |
|
|
Style Transfer (I8)
|
100% |
47548
62.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8986
320.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9571
341.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9555
341.2 IPS |
|
|
Text Classification (F32)
|
100% |
1977
2.84 KIPS |
|
|
Text Classification (F16)
|
100% |
3328
4.78 KIPS |
|
|
Text Classification (I8)
|
96% |
3429
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1008
18.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1045
19.2 IPS |
|
|
Machine Translation (I8)
|
99% |
970
17.8 IPS |
