MacBook Pro (13-inch, 2022)
Geekbench ML Score
5775
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 30 2025 07:27 PM |
| Views | 5 |
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% |
3378
632.2 IPS |
|
|
Image Classification (F16)
|
100% |
3475
650.3 IPS |
|
|
Image Classification (I8)
|
99% |
3483
651.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1394
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1518
25.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1246
20.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22861
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
24999
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
25088
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2880
215.0 IPS |
|
|
Object Detection (F16)
|
100% |
2918
217.9 IPS |
|
|
Object Detection (I8)
|
97% |
2832
211.4 IPS |
|
|
Face Detection (F32)
|
100% |
9016
107.2 IPS |
|
|
Face Detection (F16)
|
98% |
9884
117.5 IPS |
|
|
Face Detection (I8)
|
97% |
10146
120.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16423
127.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17851
138.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
17677
137.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40587
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
46193
60.8 IPS |
|
|
Style Transfer (I8)
|
100% |
45463
59.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7468
266.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8013
286.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8430
301.1 IPS |
|
|
Text Classification (F32)
|
100% |
1543
2.22 KIPS |
|
|
Text Classification (F16)
|
100% |
3252
4.67 KIPS |
|
|
Text Classification (I8)
|
96% |
3077
4.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
844
15.5 IPS |
|
|
Machine Translation (F16)
|
100% |
851
15.7 IPS |
|
|
Machine Translation (I8)
|
99% |
857
15.8 IPS |
