MacBook Pro (13-inch, 2022)
Geekbench ML Score
5582
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 21 2025 08:28 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.47 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% |
3319
621.0 IPS |
|
|
Image Classification (F16)
|
100% |
3215
601.6 IPS |
|
|
Image Classification (I8)
|
99% |
2865
536.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1153
19.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1152
19.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1169
19.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
22052
26.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
24856
30.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25548
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
2498
186.5 IPS |
|
|
Object Detection (F16)
|
100% |
2916
217.7 IPS |
|
|
Object Detection (I8)
|
97% |
2828
211.1 IPS |
|
|
Face Detection (F32)
|
100% |
8966
106.6 IPS |
|
|
Face Detection (F16)
|
98% |
10660
126.8 IPS |
|
|
Face Detection (I8)
|
97% |
10430
124.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16057
124.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17096
132.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
17574
136.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40817
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
47632
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47463
62.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6162
220.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7836
279.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6094
217.6 IPS |
|
|
Text Classification (F32)
|
100% |
2088
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3351
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3334
4.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
830
15.3 IPS |
|
|
Machine Translation (F16)
|
100% |
882
16.2 IPS |
|
|
Machine Translation (I8)
|
99% |
834
15.3 IPS |
