MacBook Pro (13-inch, 2022)
Geekbench ML Score
5711
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 14 2025 07:24 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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% |
2700
505.2 IPS |
|
|
Image Classification (F16)
|
100% |
3242
606.7 IPS |
|
|
Image Classification (I8)
|
99% |
3401
636.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1243
20.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1506
25.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1445
24.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22957
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
24862
30.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25336
30.7 IPS |
|
|
Object Detection (F32)
|
100% |
2742
204.7 IPS |
|
|
Object Detection (F16)
|
100% |
2771
206.9 IPS |
|
|
Object Detection (I8)
|
97% |
2655
198.2 IPS |
|
|
Face Detection (F32)
|
100% |
9315
110.8 IPS |
|
|
Face Detection (F16)
|
98% |
10663
126.8 IPS |
|
|
Face Detection (I8)
|
97% |
10714
127.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15947
123.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
16785
130.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
17242
133.7 IPS |
|
|
Style Transfer (F32)
|
100% |
41075
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47623
62.6 IPS |
|
|
Style Transfer (I8)
|
100% |
47798
62.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5449
194.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6053
216.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6649
237.5 IPS |
|
|
Text Classification (F32)
|
100% |
2071
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3420
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3456
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
905
16.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1052
19.4 IPS |
|
|
Machine Translation (I8)
|
99% |
916
16.9 IPS |
