MacBook Pro (13-inch, 2022)
Geekbench ML Score
5964
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 18 2025 06:46 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.46 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% |
3338
624.7 IPS |
|
|
Image Classification (F16)
|
100% |
3458
647.1 IPS |
|
|
Image Classification (I8)
|
99% |
3488
652.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1359
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1327
22.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1394
23.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
21850
26.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
23958
29.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
23958
29.0 IPS |
|
|
Object Detection (F32)
|
100% |
2537
189.4 IPS |
|
|
Object Detection (F16)
|
100% |
2613
195.1 IPS |
|
|
Object Detection (I8)
|
97% |
2653
198.1 IPS |
|
|
Face Detection (F32)
|
100% |
8316
98.9 IPS |
|
|
Face Detection (F16)
|
98% |
10554
125.5 IPS |
|
|
Face Detection (I8)
|
97% |
10505
124.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
15807
122.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17268
133.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
16442
127.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40881
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
47102
62.0 IPS |
|
|
Style Transfer (I8)
|
100% |
47055
61.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8526
304.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10406
371.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9603
342.9 IPS |
|
|
Text Classification (F32)
|
100% |
1981
2.85 KIPS |
|
|
Text Classification (F16)
|
100% |
3356
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3391
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
1054
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1088
20.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1006
18.5 IPS |
