MacBook Pro (13-inch, 2022)
Geekbench ML Score
6083
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 15 2025 06:42 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.28 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% |
3507
656.3 IPS |
|
|
Image Classification (F16)
|
100% |
3574
668.8 IPS |
|
|
Image Classification (I8)
|
99% |
2883
539.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1155
19.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1347
22.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1330
22.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23209
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
25490
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
25223
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
2881
215.1 IPS |
|
|
Object Detection (F16)
|
100% |
2979
222.4 IPS |
|
|
Object Detection (I8)
|
97% |
2848
212.7 IPS |
|
|
Face Detection (F32)
|
100% |
9075
107.9 IPS |
|
|
Face Detection (F16)
|
98% |
10264
122.0 IPS |
|
|
Face Detection (I8)
|
97% |
10224
121.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16120
125.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17871
138.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
17497
135.7 IPS |
|
|
Style Transfer (F32)
|
100% |
39865
52.4 IPS |
|
|
Style Transfer (F16)
|
100% |
47470
62.4 IPS |
|
|
Style Transfer (I8)
|
100% |
48072
63.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8723
311.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10984
392.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8194
292.6 IPS |
|
|
Text Classification (F32)
|
100% |
2207
3.17 KIPS |
|
|
Text Classification (F16)
|
100% |
3720
5.35 KIPS |
|
|
Text Classification (I8)
|
96% |
3729
5.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
1074
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1119
20.6 IPS |
|
|
Machine Translation (I8)
|
99% |
975
17.9 IPS |
