MacBook Pro (13-inch, 2022)
Geekbench ML Score
6037
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 17 2025 06:19 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
3523
659.3 IPS |
|
|
Image Classification (F16)
|
100% |
3564
667.0 IPS |
|
|
Image Classification (I8)
|
99% |
3543
663.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1384
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1372
22.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1347
22.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
22991
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
24982
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
25580
31.0 IPS |
|
|
Object Detection (F32)
|
100% |
2849
212.7 IPS |
|
|
Object Detection (F16)
|
100% |
2982
222.7 IPS |
|
|
Object Detection (I8)
|
97% |
2816
210.3 IPS |
|
|
Face Detection (F32)
|
100% |
9356
111.2 IPS |
|
|
Face Detection (F16)
|
98% |
10728
127.6 IPS |
|
|
Face Detection (I8)
|
97% |
10745
127.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16362
126.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
18215
141.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
17480
135.6 IPS |
|
|
Style Transfer (F32)
|
100% |
41657
54.8 IPS |
|
|
Style Transfer (F16)
|
100% |
47659
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47186
62.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7299
260.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7714
275.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7677
274.2 IPS |
|
|
Text Classification (F32)
|
100% |
2104
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3491
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3531
5.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
1072
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1029
18.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1025
18.9 IPS |
