MacBook Pro (13-inch, 2022)
Geekbench ML Score
6180
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 04 2025 05:13 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5068b) |
| 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 | 3.45 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% |
3321
621.4 IPS |
|
|
Image Classification (F16)
|
100% |
3354
627.7 IPS |
|
|
Image Classification (I8)
|
99% |
3372
631.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1637
27.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1583
26.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1590
26.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
23185
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
24636
29.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
25442
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2715
202.7 IPS |
|
|
Object Detection (F16)
|
100% |
2922
218.1 IPS |
|
|
Object Detection (I8)
|
97% |
2494
186.2 IPS |
|
|
Face Detection (F32)
|
100% |
8832
105.0 IPS |
|
|
Face Detection (F16)
|
98% |
10081
119.9 IPS |
|
|
Face Detection (I8)
|
97% |
10345
123.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16136
125.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17522
135.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17408
135.0 IPS |
|
|
Style Transfer (F32)
|
100% |
39522
52.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47184
62.1 IPS |
|
|
Style Transfer (I8)
|
100% |
47193
62.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8837
315.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10535
376.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9735
347.7 IPS |
|
|
Text Classification (F32)
|
100% |
2115
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3547
5.10 KIPS |
|
|
Text Classification (I8)
|
96% |
3462
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1062
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1111
20.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1093
20.1 IPS |
