MacBook Pro (13-inch, 2022)
Geekbench ML Score
5799
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 05 2025 06:31 PM |
| Views | 12 |
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 | 3.48 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% |
3360
628.8 IPS |
|
|
Image Classification (F16)
|
100% |
3461
647.6 IPS |
|
|
Image Classification (I8)
|
99% |
3496
654.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1428
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1379
23.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1356
22.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22912
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
24977
30.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
25303
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2873
214.5 IPS |
|
|
Object Detection (F16)
|
100% |
2958
220.9 IPS |
|
|
Object Detection (I8)
|
97% |
2759
206.0 IPS |
|
|
Face Detection (F32)
|
100% |
9072
107.9 IPS |
|
|
Face Detection (F16)
|
98% |
9862
117.3 IPS |
|
|
Face Detection (I8)
|
97% |
10024
119.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16149
125.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
17364
134.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
13695
106.2 IPS |
|
|
Style Transfer (F32)
|
100% |
35501
46.7 IPS |
|
|
Style Transfer (F16)
|
100% |
46608
61.3 IPS |
|
|
Style Transfer (I8)
|
100% |
46791
61.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9867
352.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5705
203.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8219
293.5 IPS |
|
|
Text Classification (F32)
|
100% |
2099
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3499
5.03 KIPS |
|
|
Text Classification (I8)
|
96% |
3505
5.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
882
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
873
16.1 IPS |
|
|
Machine Translation (I8)
|
99% |
884
16.3 IPS |
