MacBook Pro (13-inch, 2022)
Geekbench ML Score
5602
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 26 2025 06:45 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 3.27 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% |
3385
633.5 IPS |
|
|
Image Classification (F16)
|
100% |
3379
632.2 IPS |
|
|
Image Classification (I8)
|
99% |
2111
395.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
818
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1555
26.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1404
23.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23748
28.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
25746
31.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
25766
31.2 IPS |
|
|
Object Detection (F32)
|
100% |
2807
209.6 IPS |
|
|
Object Detection (F16)
|
100% |
1906
142.3 IPS |
|
|
Object Detection (I8)
|
97% |
2806
209.5 IPS |
|
|
Face Detection (F32)
|
100% |
9371
111.4 IPS |
|
|
Face Detection (F16)
|
98% |
10813
128.6 IPS |
|
|
Face Detection (I8)
|
97% |
7951
94.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16008
124.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17296
134.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
14700
114.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40838
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
46053
60.6 IPS |
|
|
Style Transfer (I8)
|
100% |
46418
61.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6885
245.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7613
271.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10430
372.5 IPS |
|
|
Text Classification (F32)
|
100% |
2042
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
2954
4.25 KIPS |
|
|
Text Classification (I8)
|
96% |
2813
4.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
811
14.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1141
21.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1128
20.8 IPS |
