MacBook Pro (13-inch, 2022)
Geekbench ML Score
5844
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 09 2025 06:22 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5040f) |
| 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 | 3.28 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% |
3288
615.3 IPS |
|
|
Image Classification (F16)
|
100% |
3303
618.1 IPS |
|
|
Image Classification (I8)
|
99% |
3270
611.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1370
22.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1511
25.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1484
24.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23176
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
24991
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
24766
30.0 IPS |
|
|
Object Detection (F32)
|
100% |
2803
209.2 IPS |
|
|
Object Detection (F16)
|
100% |
2846
212.5 IPS |
|
|
Object Detection (I8)
|
97% |
2899
216.5 IPS |
|
|
Face Detection (F32)
|
100% |
9109
108.3 IPS |
|
|
Face Detection (F16)
|
98% |
10441
124.1 IPS |
|
|
Face Detection (I8)
|
97% |
9057
107.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
12327
95.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17024
132.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
16756
129.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40684
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
46796
61.6 IPS |
|
|
Style Transfer (I8)
|
100% |
46389
61.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9599
342.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8525
304.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8277
295.6 IPS |
|
|
Text Classification (F32)
|
100% |
2045
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3345
4.81 KIPS |
|
|
Text Classification (I8)
|
96% |
3366
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
886
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
863
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
873
16.1 IPS |
