MacBook Pro (13-inch, 2022)
Geekbench ML Score
5504
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 19 2025 08:06 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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 | 3.30 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% |
3447
644.9 IPS |
|
|
Image Classification (F16)
|
100% |
2937
549.6 IPS |
|
|
Image Classification (I8)
|
99% |
2736
512.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1463
24.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1055
17.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1383
23.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23577
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25750
31.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
23155
28.0 IPS |
|
|
Object Detection (F32)
|
100% |
2905
216.9 IPS |
|
|
Object Detection (F16)
|
100% |
2938
219.3 IPS |
|
|
Object Detection (I8)
|
97% |
2155
160.9 IPS |
|
|
Face Detection (F32)
|
100% |
7556
89.8 IPS |
|
|
Face Detection (F16)
|
98% |
6046
71.9 IPS |
|
|
Face Detection (I8)
|
97% |
10643
126.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16397
127.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
13653
105.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
16830
130.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40855
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
48102
63.3 IPS |
|
|
Style Transfer (I8)
|
100% |
47683
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7199
257.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7387
263.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5741
205.0 IPS |
|
|
Text Classification (F32)
|
100% |
2107
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3494
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3553
5.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
898
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
939
17.3 IPS |
|
|
Machine Translation (I8)
|
99% |
942
17.3 IPS |
