MacBook Pro (13-inch, 2022)
Geekbench ML Score
5342
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 04 2025 07:50 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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% |
3302
617.8 IPS |
|
|
Image Classification (F16)
|
100% |
3430
641.9 IPS |
|
|
Image Classification (I8)
|
99% |
3427
641.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1088
18.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1369
22.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1195
20.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
22658
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
24901
30.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
22089
26.7 IPS |
|
|
Object Detection (F32)
|
100% |
1447
108.0 IPS |
|
|
Object Detection (F16)
|
100% |
2606
194.6 IPS |
|
|
Object Detection (I8)
|
97% |
2802
209.2 IPS |
|
|
Face Detection (F32)
|
100% |
8819
104.9 IPS |
|
|
Face Detection (F16)
|
98% |
10201
121.3 IPS |
|
|
Face Detection (I8)
|
97% |
8959
106.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
9397
72.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17014
131.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17073
132.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40379
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
38093
50.1 IPS |
|
|
Style Transfer (I8)
|
100% |
24799
32.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9714
346.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6890
246.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6646
237.3 IPS |
|
|
Text Classification (F32)
|
100% |
2101
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3443
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3457
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
879
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1053
19.4 IPS |
|
|
Machine Translation (I8)
|
99% |
864
15.9 IPS |
