MacBook Pro (13-inch, 2022)
Geekbench ML Score
6145
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 07 2025 03:29 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 3.45 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% |
3514
657.5 IPS |
|
|
Image Classification (F16)
|
100% |
3504
655.7 IPS |
|
|
Image Classification (I8)
|
99% |
3466
648.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1420
23.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1442
24.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1395
23.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22432
27.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
24312
29.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25416
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2515
187.7 IPS |
|
|
Object Detection (F16)
|
100% |
2927
218.5 IPS |
|
|
Object Detection (I8)
|
97% |
2818
210.3 IPS |
|
|
Face Detection (F32)
|
100% |
9287
110.4 IPS |
|
|
Face Detection (F16)
|
98% |
9357
111.3 IPS |
|
|
Face Detection (I8)
|
97% |
10533
125.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15817
122.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
17470
135.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
17264
133.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40545
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47321
62.2 IPS |
|
|
Style Transfer (I8)
|
100% |
46727
61.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8041
287.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10231
365.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10620
379.3 IPS |
|
|
Text Classification (F32)
|
100% |
2167
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
3647
5.24 KIPS |
|
|
Text Classification (I8)
|
96% |
3597
5.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
1082
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1146
21.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1076
19.8 IPS |
