MacBook Pro (13-inch, 2022)
Geekbench ML Score
6102
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 10 2026 07:09 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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% |
2125
397.7 IPS |
|
|
Image Classification (F16)
|
100% |
3521
658.8 IPS |
|
|
Image Classification (I8)
|
99% |
3482
651.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1493
24.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1451
24.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1136
19.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23414
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25483
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
24319
29.4 IPS |
|
|
Object Detection (F32)
|
100% |
2833
211.5 IPS |
|
|
Object Detection (F16)
|
100% |
3023
225.7 IPS |
|
|
Object Detection (I8)
|
97% |
2460
183.6 IPS |
|
|
Face Detection (F32)
|
100% |
7460
88.7 IPS |
|
|
Face Detection (F16)
|
98% |
6189
73.6 IPS |
|
|
Face Detection (I8)
|
97% |
10945
130.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16444
127.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
13710
106.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
17551
136.1 IPS |
|
|
Style Transfer (F32)
|
100% |
38757
51.0 IPS |
|
|
Style Transfer (F16)
|
100% |
45901
60.4 IPS |
|
|
Style Transfer (I8)
|
100% |
47578
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7624
272.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9477
338.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10355
369.8 IPS |
|
|
Text Classification (F32)
|
100% |
3753
5.39 KIPS |
|
|
Text Classification (F16)
|
100% |
6253
8.99 KIPS |
|
|
Text Classification (I8)
|
96% |
5747
8.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
890
16.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1068
19.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1153
21.2 IPS |
