MacBook Pro (13-inch, 2022)
Geekbench ML Score
5868
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 25 2025 07:16 PM |
| Views | 5 |
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% |
3319
621.1 IPS |
|
|
Image Classification (F16)
|
100% |
3441
643.9 IPS |
|
|
Image Classification (I8)
|
99% |
3386
633.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1257
21.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1536
25.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1299
21.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23351
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
25523
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
25751
31.2 IPS |
|
|
Object Detection (F32)
|
100% |
2862
213.7 IPS |
|
|
Object Detection (F16)
|
100% |
2943
219.7 IPS |
|
|
Object Detection (I8)
|
97% |
2860
213.5 IPS |
|
|
Face Detection (F32)
|
100% |
8656
102.9 IPS |
|
|
Face Detection (F16)
|
98% |
9825
116.8 IPS |
|
|
Face Detection (I8)
|
97% |
10502
124.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16030
124.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17362
134.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
17494
135.7 IPS |
|
|
Style Transfer (F32)
|
100% |
41026
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47691
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
48067
63.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7194
256.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8051
287.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7230
258.2 IPS |
|
|
Text Classification (F32)
|
100% |
2137
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3613
5.19 KIPS |
|
|
Text Classification (I8)
|
96% |
3489
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
902
16.6 IPS |
|
|
Machine Translation (F16)
|
100% |
873
16.1 IPS |
|
|
Machine Translation (I8)
|
99% |
873
16.1 IPS |
