MacBook Pro (13-inch, 2022)
Geekbench ML Score
3626
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 05 2025 12:37 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.31 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1267
237.1 IPS |
|
|
Image Classification (F16)
|
100% |
2325
435.0 IPS |
|
|
Image Classification (I8)
|
99% |
2272
425.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
696
11.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
962
16.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
986
16.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5936
7.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
13539
16.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
13363
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1291
96.4 IPS |
|
|
Object Detection (F16)
|
100% |
2234
166.8 IPS |
|
|
Object Detection (I8)
|
97% |
1275
95.2 IPS |
|
|
Face Detection (F32)
|
100% |
2751
32.7 IPS |
|
|
Face Detection (F16)
|
97% |
5330
63.4 IPS |
|
|
Face Detection (I8)
|
96% |
5374
63.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5237
40.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10521
81.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10206
79.1 IPS |
|
|
Style Transfer (F32)
|
100% |
16716
22.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27817
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27938
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3898
139.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4943
176.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5048
180.3 IPS |
|
|
Text Classification (F32)
|
100% |
2155
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3334
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
3334
4.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
1305
24.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1551
28.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1288
23.7 IPS |
