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 | September 21 2025 03:25 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.48 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% |
3469
649.2 IPS |
|
|
Image Classification (F16)
|
100% |
3583
670.5 IPS |
|
|
Image Classification (I8)
|
99% |
3497
654.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1582
26.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1435
24.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1506
25.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23065
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25127
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
24664
29.9 IPS |
|
|
Object Detection (F32)
|
100% |
1509
112.6 IPS |
|
|
Object Detection (F16)
|
100% |
2922
218.2 IPS |
|
|
Object Detection (I8)
|
97% |
2834
211.6 IPS |
|
|
Face Detection (F32)
|
100% |
9350
111.2 IPS |
|
|
Face Detection (F16)
|
98% |
7907
94.0 IPS |
|
|
Face Detection (I8)
|
97% |
10753
127.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16439
127.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17477
135.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
17436
135.2 IPS |
|
|
Style Transfer (F32)
|
100% |
41140
54.1 IPS |
|
|
Style Transfer (F16)
|
100% |
47698
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
41528
54.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6186
220.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10548
376.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8477
302.7 IPS |
|
|
Text Classification (F32)
|
100% |
2170
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
1536
2.21 KIPS |
|
|
Text Classification (I8)
|
96% |
1616
2.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
1138
20.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1140
21.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1121
20.6 IPS |
