MacBook Pro (13-inch, 2022)
Geekbench ML Score
5915
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 09 2025 06:28 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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% |
3429
641.6 IPS |
|
|
Image Classification (F16)
|
100% |
3440
643.7 IPS |
|
|
Image Classification (I8)
|
99% |
3428
641.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1444
24.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1377
23.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1520
25.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22940
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
25027
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
25241
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2726
203.5 IPS |
|
|
Object Detection (F16)
|
100% |
2835
211.6 IPS |
|
|
Object Detection (I8)
|
97% |
2363
176.4 IPS |
|
|
Face Detection (F32)
|
100% |
9310
110.7 IPS |
|
|
Face Detection (F16)
|
98% |
10883
129.4 IPS |
|
|
Face Detection (I8)
|
97% |
10681
127.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16637
129.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
18347
142.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
17613
136.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40406
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
47808
62.9 IPS |
|
|
Style Transfer (I8)
|
100% |
47794
62.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5707
203.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7666
273.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5712
204.0 IPS |
|
|
Text Classification (F32)
|
100% |
2026
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3425
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3544
5.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
1092
20.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1120
20.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1104
20.3 IPS |
