MacBook Pro (13-inch, 2022)
Geekbench ML Score
5654
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 21 2026 07:00 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.5 (Build 25F5058e) |
| 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% |
2995
560.5 IPS |
|
|
Image Classification (F16)
|
100% |
3402
636.6 IPS |
|
|
Image Classification (I8)
|
99% |
3417
639.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1402
23.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
917
15.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1137
19.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23121
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25303
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
24417
29.6 IPS |
|
|
Object Detection (F32)
|
100% |
1804
134.7 IPS |
|
|
Object Detection (F16)
|
100% |
2714
202.6 IPS |
|
|
Object Detection (I8)
|
97% |
1930
144.1 IPS |
|
|
Face Detection (F32)
|
100% |
7564
89.9 IPS |
|
|
Face Detection (F16)
|
98% |
10609
126.1 IPS |
|
|
Face Detection (I8)
|
97% |
10741
127.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
10311
80.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11230
87.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
17724
137.4 IPS |
|
|
Style Transfer (F32)
|
100% |
41990
55.2 IPS |
|
|
Style Transfer (F16)
|
100% |
47347
62.3 IPS |
|
|
Style Transfer (I8)
|
100% |
43326
57.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7022
250.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7524
268.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7437
265.6 IPS |
|
|
Text Classification (F32)
|
100% |
2090
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
5584
8.03 KIPS |
|
|
Text Classification (I8)
|
96% |
5538
7.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
1168
21.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1163
21.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1031
19.0 IPS |
