MacBook Pro (13-inch, 2022)
Geekbench ML Score
6198
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 11 2025 07:20 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.30 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% |
3532
660.9 IPS |
|
|
Image Classification (F16)
|
100% |
3499
654.8 IPS |
|
|
Image Classification (I8)
|
99% |
3504
655.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1265
21.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1530
25.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1521
25.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23542
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
25618
31.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
25669
31.1 IPS |
|
|
Object Detection (F32)
|
100% |
2845
212.4 IPS |
|
|
Object Detection (F16)
|
100% |
2945
219.9 IPS |
|
|
Object Detection (I8)
|
97% |
2815
210.2 IPS |
|
|
Face Detection (F32)
|
100% |
9018
107.2 IPS |
|
|
Face Detection (F16)
|
98% |
10185
121.1 IPS |
|
|
Face Detection (I8)
|
97% |
10092
120.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15880
123.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
17369
134.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17966
139.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40415
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
47774
62.8 IPS |
|
|
Style Transfer (I8)
|
100% |
47356
62.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9474
338.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10193
364.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10347
369.5 IPS |
|
|
Text Classification (F32)
|
100% |
2146
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3477
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3499
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
982
18.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1087
20.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1079
19.9 IPS |
