MacBook Pro (13-inch, 2022)
Geekbench ML Score
5919
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 17 2025 06:57 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% |
3366
630.0 IPS |
|
|
Image Classification (F16)
|
100% |
3368
630.3 IPS |
|
|
Image Classification (I8)
|
99% |
3437
643.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1306
21.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1442
24.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1524
25.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
22946
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
24848
30.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
24639
29.8 IPS |
|
|
Object Detection (F32)
|
100% |
2888
215.6 IPS |
|
|
Object Detection (F16)
|
100% |
2900
216.5 IPS |
|
|
Object Detection (I8)
|
97% |
2799
209.0 IPS |
|
|
Face Detection (F32)
|
100% |
8887
105.7 IPS |
|
|
Face Detection (F16)
|
98% |
10350
123.1 IPS |
|
|
Face Detection (I8)
|
97% |
9945
118.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15971
123.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17525
135.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
16967
131.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40565
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
46934
61.7 IPS |
|
|
Style Transfer (I8)
|
100% |
46759
61.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9494
339.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7612
271.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8449
301.8 IPS |
|
|
Text Classification (F32)
|
100% |
2109
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3493
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3486
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
871
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
867
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
873
16.1 IPS |
