MacBook Pro (13-inch, 2022)
Geekbench ML Score
6130
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 08 2025 06:04 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.47 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% |
3380
632.5 IPS |
|
|
Image Classification (F16)
|
100% |
3485
652.1 IPS |
|
|
Image Classification (I8)
|
99% |
3523
659.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1511
25.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1494
24.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1468
24.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
23013
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25302
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
23764
28.8 IPS |
|
|
Object Detection (F32)
|
100% |
2921
218.1 IPS |
|
|
Object Detection (F16)
|
100% |
2937
219.3 IPS |
|
|
Object Detection (I8)
|
97% |
2840
212.1 IPS |
|
|
Face Detection (F32)
|
100% |
9044
107.5 IPS |
|
|
Face Detection (F16)
|
98% |
10258
122.0 IPS |
|
|
Face Detection (I8)
|
97% |
10339
122.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
15015
116.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17736
137.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
17192
133.3 IPS |
|
|
Style Transfer (F32)
|
100% |
41310
54.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47496
62.5 IPS |
|
|
Style Transfer (I8)
|
100% |
46184
60.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8374
299.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8870
316.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10234
365.5 IPS |
|
|
Text Classification (F32)
|
100% |
2157
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3433
4.93 KIPS |
|
|
Text Classification (I8)
|
96% |
3405
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
1115
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1007
18.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1063
19.6 IPS |
