MacBook Pro (13-inch, 2022)
Geekbench ML Score
5606
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 16 2025 06:26 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 3.46 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% |
3386
633.5 IPS |
|
|
Image Classification (F16)
|
100% |
3465
648.5 IPS |
|
|
Image Classification (I8)
|
99% |
3417
639.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1552
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1590
26.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1511
25.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23235
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
25210
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
22754
27.6 IPS |
|
|
Object Detection (F32)
|
100% |
1667
124.5 IPS |
|
|
Object Detection (F16)
|
100% |
2163
161.5 IPS |
|
|
Object Detection (I8)
|
97% |
2831
211.3 IPS |
|
|
Face Detection (F32)
|
100% |
9029
107.4 IPS |
|
|
Face Detection (F16)
|
98% |
10142
120.6 IPS |
|
|
Face Detection (I8)
|
97% |
9162
108.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
9358
72.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17202
133.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
17372
134.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40562
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
36391
47.9 IPS |
|
|
Style Transfer (I8)
|
100% |
23549
31.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7700
275.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8052
287.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8956
319.9 IPS |
|
|
Text Classification (F32)
|
100% |
2092
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3487
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
3477
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1043
19.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1142
21.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1036
19.1 IPS |
