MacBook Pro (13-inch, 2022)
Geekbench ML Score
6060
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 02 2025 06:04 PM |
| Views | 4 |
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 | 3.47 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% |
3471
649.4 IPS |
|
|
Image Classification (F16)
|
100% |
3516
658.0 IPS |
|
|
Image Classification (I8)
|
99% |
3553
664.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1497
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1281
21.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1402
23.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23640
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25104
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25631
31.0 IPS |
|
|
Object Detection (F32)
|
100% |
2497
186.4 IPS |
|
|
Object Detection (F16)
|
100% |
2563
191.4 IPS |
|
|
Object Detection (I8)
|
97% |
2807
209.6 IPS |
|
|
Face Detection (F32)
|
100% |
8222
97.8 IPS |
|
|
Face Detection (F16)
|
98% |
10197
121.2 IPS |
|
|
Face Detection (I8)
|
97% |
10898
129.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16481
127.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
18101
140.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
18049
140.0 IPS |
|
|
Style Transfer (F32)
|
100% |
39398
51.8 IPS |
|
|
Style Transfer (F16)
|
100% |
47161
62.0 IPS |
|
|
Style Transfer (I8)
|
100% |
47344
62.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8131
290.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8995
321.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9091
324.7 IPS |
|
|
Text Classification (F32)
|
100% |
2158
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3466
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3471
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
1063
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1079
19.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1092
20.1 IPS |
