MacBook Pro (13-inch, 2022)
Geekbench ML Score
5877
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 18 2025 04:19 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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% |
3362
629.1 IPS |
|
|
Image Classification (F16)
|
100% |
3399
636.1 IPS |
|
|
Image Classification (I8)
|
99% |
3327
622.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1103
18.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1592
26.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1504
25.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22987
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
24841
30.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
23946
29.0 IPS |
|
|
Object Detection (F32)
|
100% |
2845
212.4 IPS |
|
|
Object Detection (F16)
|
100% |
2448
182.7 IPS |
|
|
Object Detection (I8)
|
97% |
2711
202.4 IPS |
|
|
Face Detection (F32)
|
100% |
8035
95.5 IPS |
|
|
Face Detection (F16)
|
98% |
9614
114.3 IPS |
|
|
Face Detection (I8)
|
97% |
10203
121.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15963
123.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17370
134.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
15225
118.1 IPS |
|
|
Style Transfer (F32)
|
100% |
36241
47.7 IPS |
|
|
Style Transfer (F16)
|
100% |
44590
58.7 IPS |
|
|
Style Transfer (I8)
|
100% |
46655
61.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7861
280.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7766
277.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9688
346.0 IPS |
|
|
Text Classification (F32)
|
100% |
2078
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3426
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3455
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1057
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1096
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1085
20.0 IPS |
