MacBook Pro (13-inch, 2022)
Geekbench ML Score
5842
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 20 2025 06:18 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.47 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% |
3456
646.7 IPS |
|
|
Image Classification (F16)
|
100% |
3522
659.0 IPS |
|
|
Image Classification (I8)
|
99% |
3464
648.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1248
20.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1303
21.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1124
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22922
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
24998
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
25192
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
2807
209.5 IPS |
|
|
Object Detection (F16)
|
100% |
2852
213.0 IPS |
|
|
Object Detection (I8)
|
97% |
2800
209.0 IPS |
|
|
Face Detection (F32)
|
100% |
9331
111.0 IPS |
|
|
Face Detection (F16)
|
98% |
10660
126.8 IPS |
|
|
Face Detection (I8)
|
97% |
10668
126.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15800
122.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17282
134.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
17345
134.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40499
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47411
62.4 IPS |
|
|
Style Transfer (I8)
|
100% |
47333
62.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7216
257.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7498
267.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7479
267.1 IPS |
|
|
Text Classification (F32)
|
100% |
2106
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3571
5.13 KIPS |
|
|
Text Classification (I8)
|
96% |
3435
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
985
18.1 IPS |
|
|
Machine Translation (F16)
|
100% |
947
17.4 IPS |
|
|
Machine Translation (I8)
|
99% |
897
16.5 IPS |
