MacBook Pro (13-inch, 2022)
Geekbench ML Score
5627
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 07 2025 06:59 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.29 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% |
3426
641.0 IPS |
|
|
Image Classification (F16)
|
100% |
2894
541.6 IPS |
|
|
Image Classification (I8)
|
99% |
3477
650.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1110
18.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1111
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1144
19.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22819
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
24677
29.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
24857
30.1 IPS |
|
|
Object Detection (F32)
|
100% |
2747
205.1 IPS |
|
|
Object Detection (F16)
|
100% |
2564
191.4 IPS |
|
|
Object Detection (I8)
|
97% |
2679
200.0 IPS |
|
|
Face Detection (F32)
|
100% |
8723
103.7 IPS |
|
|
Face Detection (F16)
|
98% |
9044
107.5 IPS |
|
|
Face Detection (I8)
|
97% |
10229
121.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15541
120.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17415
135.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
17646
136.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40331
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
47055
61.9 IPS |
|
|
Style Transfer (I8)
|
100% |
46938
61.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8843
315.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9861
352.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8105
289.5 IPS |
|
|
Text Classification (F32)
|
100% |
2102
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3437
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3516
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
724
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
723
13.3 IPS |
|
|
Machine Translation (I8)
|
99% |
780
14.4 IPS |
