MacBook Pro (13-inch, 2022)
Geekbench ML Score
5756
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 06:45 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 3.46 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% |
3095
579.2 IPS |
|
|
Image Classification (F16)
|
100% |
3332
623.4 IPS |
|
|
Image Classification (I8)
|
99% |
3446
644.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1256
21.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1396
23.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1326
22.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22474
27.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
24910
30.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
25215
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
2791
208.4 IPS |
|
|
Object Detection (F16)
|
100% |
2910
217.3 IPS |
|
|
Object Detection (I8)
|
97% |
2803
209.2 IPS |
|
|
Face Detection (F32)
|
100% |
9038
107.5 IPS |
|
|
Face Detection (F16)
|
98% |
10662
126.8 IPS |
|
|
Face Detection (I8)
|
97% |
10619
126.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
13150
102.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17367
134.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17458
135.4 IPS |
|
|
Style Transfer (F32)
|
100% |
41600
54.7 IPS |
|
|
Style Transfer (F16)
|
100% |
47503
62.5 IPS |
|
|
Style Transfer (I8)
|
100% |
47668
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5708
203.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5382
192.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5899
210.7 IPS |
|
|
Text Classification (F32)
|
100% |
2166
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
3564
5.12 KIPS |
|
|
Text Classification (I8)
|
96% |
3616
5.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
1102
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1060
19.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1058
19.5 IPS |
