MacBook Pro (13-inch, 2022)
Geekbench ML Score
5049
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 23 2025 11:30 PM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 3.45 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% |
2858
534.9 IPS |
|
|
Image Classification (F16)
|
100% |
3428
641.6 IPS |
|
|
Image Classification (I8)
|
99% |
3419
639.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1325
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1452
24.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1322
22.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22834
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
24784
30.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
25093
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2175
162.4 IPS |
|
|
Object Detection (F16)
|
100% |
1115
83.2 IPS |
|
|
Object Detection (I8)
|
97% |
2656
198.3 IPS |
|
|
Face Detection (F32)
|
100% |
8234
97.9 IPS |
|
|
Face Detection (F16)
|
98% |
10059
119.6 IPS |
|
|
Face Detection (I8)
|
97% |
8689
103.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8947
69.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
16761
130.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
17388
134.8 IPS |
|
|
Style Transfer (F32)
|
100% |
34928
45.9 IPS |
|
|
Style Transfer (F16)
|
100% |
24403
32.1 IPS |
|
|
Style Transfer (I8)
|
100% |
30358
39.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6587
235.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7731
276.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6943
248.0 IPS |
|
|
Text Classification (F32)
|
100% |
1548
2.23 KIPS |
|
|
Text Classification (F16)
|
100% |
3396
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3413
4.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
815
15.0 IPS |
|
|
Machine Translation (F16)
|
100% |
826
15.2 IPS |
|
|
Machine Translation (I8)
|
99% |
775
14.3 IPS |
