MacBook Pro (13-inch, 2022)
Geekbench ML Score
5684
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 20 2025 08:35 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
3379
632.4 IPS |
|
|
Image Classification (F16)
|
100% |
3366
629.9 IPS |
|
|
Image Classification (I8)
|
99% |
3444
644.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1410
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1346
22.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1485
24.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22966
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
24611
29.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
24740
30.0 IPS |
|
|
Object Detection (F32)
|
100% |
2867
214.1 IPS |
|
|
Object Detection (F16)
|
100% |
2578
192.5 IPS |
|
|
Object Detection (I8)
|
97% |
2833
211.5 IPS |
|
|
Face Detection (F32)
|
100% |
8853
105.3 IPS |
|
|
Face Detection (F16)
|
98% |
10086
119.9 IPS |
|
|
Face Detection (I8)
|
97% |
10069
119.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15892
123.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
17420
135.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
16994
131.8 IPS |
|
|
Style Transfer (F32)
|
100% |
41467
54.5 IPS |
|
|
Style Transfer (F16)
|
100% |
47141
62.0 IPS |
|
|
Style Transfer (I8)
|
100% |
46832
61.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8010
286.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7819
279.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7675
274.1 IPS |
|
|
Text Classification (F32)
|
100% |
1952
2.80 KIPS |
|
|
Text Classification (F16)
|
100% |
2961
4.26 KIPS |
|
|
Text Classification (I8)
|
96% |
3352
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
673
12.4 IPS |
|
|
Machine Translation (F16)
|
100% |
746
13.7 IPS |
|
|
Machine Translation (I8)
|
99% |
749
13.8 IPS |
