MacBook Pro (13-inch, 2022)
Geekbench ML Score
6064
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 08 2025 04:12 PM |
| Views | 3 |
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 | 3.29 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% |
3384
633.3 IPS |
|
|
Image Classification (F16)
|
100% |
3421
640.2 IPS |
|
|
Image Classification (I8)
|
99% |
3443
644.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1558
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1488
24.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1608
26.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23359
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
25338
30.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
25058
30.3 IPS |
|
|
Object Detection (F32)
|
100% |
2150
160.5 IPS |
|
|
Object Detection (F16)
|
100% |
2475
184.8 IPS |
|
|
Object Detection (I8)
|
97% |
2579
192.5 IPS |
|
|
Face Detection (F32)
|
100% |
9065
107.8 IPS |
|
|
Face Detection (F16)
|
98% |
10529
125.2 IPS |
|
|
Face Detection (I8)
|
97% |
10678
127.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16046
124.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
18183
141.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
17260
133.8 IPS |
|
|
Style Transfer (F32)
|
100% |
41374
54.4 IPS |
|
|
Style Transfer (F16)
|
100% |
44813
58.9 IPS |
|
|
Style Transfer (I8)
|
100% |
46613
61.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7275
259.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10070
359.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10259
366.4 IPS |
|
|
Text Classification (F32)
|
100% |
2030
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3375
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3385
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
1063
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1115
20.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1097
20.2 IPS |
