MacBook Pro (13-inch, 2022)
Geekbench ML Score
6257
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 18 2025 06:16 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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% |
3474
650.1 IPS |
|
|
Image Classification (F16)
|
100% |
3509
656.5 IPS |
|
|
Image Classification (I8)
|
99% |
3503
655.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1427
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1602
26.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1604
26.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23607
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25683
31.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25644
31.1 IPS |
|
|
Object Detection (F32)
|
100% |
2782
207.7 IPS |
|
|
Object Detection (F16)
|
100% |
2854
213.1 IPS |
|
|
Object Detection (I8)
|
97% |
2835
211.6 IPS |
|
|
Face Detection (F32)
|
100% |
9051
107.6 IPS |
|
|
Face Detection (F16)
|
98% |
10793
128.3 IPS |
|
|
Face Detection (I8)
|
97% |
10803
128.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16202
125.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17399
134.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17496
135.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40488
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47523
62.5 IPS |
|
|
Style Transfer (I8)
|
100% |
47590
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8085
288.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10782
385.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10329
368.9 IPS |
|
|
Text Classification (F32)
|
100% |
2088
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3451
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3442
4.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
1101
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1116
20.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1087
20.0 IPS |
