MacBook Pro (13-inch, 2022)
Geekbench ML Score
5362
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 29 2025 02:51 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.43 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% |
3499
654.8 IPS |
|
|
Image Classification (F16)
|
100% |
2818
527.3 IPS |
|
|
Image Classification (I8)
|
99% |
1583
296.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1461
24.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1425
23.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1392
23.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22440
27.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
24733
30.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
24030
29.1 IPS |
|
|
Object Detection (F32)
|
100% |
2186
163.2 IPS |
|
|
Object Detection (F16)
|
100% |
2824
210.9 IPS |
|
|
Object Detection (I8)
|
97% |
2331
174.0 IPS |
|
|
Face Detection (F32)
|
100% |
8279
98.4 IPS |
|
|
Face Detection (F16)
|
98% |
8923
106.1 IPS |
|
|
Face Detection (I8)
|
97% |
7150
85.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15719
121.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17035
132.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
17035
132.1 IPS |
|
|
Style Transfer (F32)
|
100% |
34065
44.8 IPS |
|
|
Style Transfer (F16)
|
100% |
24785
32.6 IPS |
|
|
Style Transfer (I8)
|
100% |
40414
53.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8498
303.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8685
310.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7567
270.3 IPS |
|
|
Text Classification (F32)
|
100% |
2138
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3340
4.80 KIPS |
|
|
Text Classification (I8)
|
96% |
3238
4.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
924
17.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1002
18.4 IPS |
|
|
Machine Translation (I8)
|
99% |
893
16.4 IPS |
