MacBook Pro (13-inch, 2022)
Geekbench ML Score
5453
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 21 2025 04:51 PM |
| Views | 8 |
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 | 3.44 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% |
3360
628.8 IPS |
|
|
Image Classification (F16)
|
100% |
3395
635.4 IPS |
|
|
Image Classification (I8)
|
99% |
3332
623.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1284
21.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1237
20.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1176
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22883
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
24445
29.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
24701
29.9 IPS |
|
|
Object Detection (F32)
|
100% |
1938
144.7 IPS |
|
|
Object Detection (F16)
|
100% |
2502
186.8 IPS |
|
|
Object Detection (I8)
|
97% |
2183
163.0 IPS |
|
|
Face Detection (F32)
|
100% |
8747
104.0 IPS |
|
|
Face Detection (F16)
|
98% |
9816
116.7 IPS |
|
|
Face Detection (I8)
|
97% |
8086
96.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15847
122.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
16888
131.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
17294
134.1 IPS |
|
|
Style Transfer (F32)
|
100% |
39962
52.6 IPS |
|
|
Style Transfer (F16)
|
100% |
46132
60.7 IPS |
|
|
Style Transfer (I8)
|
100% |
46562
61.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7175
256.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7506
268.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5214
186.2 IPS |
|
|
Text Classification (F32)
|
100% |
2010
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3450
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3453
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
860
15.8 IPS |
|
|
Machine Translation (F16)
|
100% |
883
16.3 IPS |
|
|
Machine Translation (I8)
|
99% |
860
15.8 IPS |
