MacBook Pro (13-inch, 2022)
Geekbench ML Score
6030
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 01 2025 05:38 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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% |
3471
649.4 IPS |
|
|
Image Classification (F16)
|
100% |
3399
636.1 IPS |
|
|
Image Classification (I8)
|
99% |
3503
655.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1454
24.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1625
27.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1622
27.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23234
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
24990
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
25271
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2854
213.1 IPS |
|
|
Object Detection (F16)
|
100% |
2988
223.1 IPS |
|
|
Object Detection (I8)
|
97% |
2851
212.8 IPS |
|
|
Face Detection (F32)
|
100% |
9301
110.6 IPS |
|
|
Face Detection (F16)
|
98% |
10841
128.9 IPS |
|
|
Face Detection (I8)
|
97% |
10736
127.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16672
129.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
18104
140.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
17785
137.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40876
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
42213
55.5 IPS |
|
|
Style Transfer (I8)
|
100% |
43232
56.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8375
299.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9862
352.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10494
374.8 IPS |
|
|
Text Classification (F32)
|
100% |
1592
2.29 KIPS |
|
|
Text Classification (F16)
|
100% |
1475
2.12 KIPS |
|
|
Text Classification (I8)
|
96% |
3491
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1125
20.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1135
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1156
21.3 IPS |
