MacBook Pro (13-inch, 2022)
Geekbench ML Score
5793
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 29 2025 08:14 PM |
| Views | 5 |
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% |
3360
628.8 IPS |
|
|
Image Classification (F16)
|
100% |
3302
617.9 IPS |
|
|
Image Classification (I8)
|
99% |
3044
569.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1615
27.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1634
27.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1568
26.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22902
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
25089
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
24196
29.3 IPS |
|
|
Object Detection (F32)
|
100% |
2389
178.3 IPS |
|
|
Object Detection (F16)
|
100% |
1628
121.5 IPS |
|
|
Object Detection (I8)
|
97% |
2873
214.5 IPS |
|
|
Face Detection (F32)
|
100% |
9383
111.6 IPS |
|
|
Face Detection (F16)
|
98% |
10539
125.3 IPS |
|
|
Face Detection (I8)
|
97% |
10241
121.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
14651
113.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17768
137.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
17118
132.8 IPS |
|
|
Style Transfer (F32)
|
100% |
38189
50.2 IPS |
|
|
Style Transfer (F16)
|
100% |
45794
60.2 IPS |
|
|
Style Transfer (I8)
|
100% |
47521
62.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8604
307.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9736
347.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6044
215.9 IPS |
|
|
Text Classification (F32)
|
100% |
1638
2.35 KIPS |
|
|
Text Classification (F16)
|
100% |
3529
5.07 KIPS |
|
|
Text Classification (I8)
|
96% |
3484
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
818
15.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1044
19.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1088
20.0 IPS |
