MacBook Pro (13-inch, 2022)
Geekbench ML Score
5997
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 05 2025 06:44 PM |
| Views | 9 |
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 | 3.47 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% |
3446
644.9 IPS |
|
|
Image Classification (F16)
|
100% |
3571
668.2 IPS |
|
|
Image Classification (I8)
|
99% |
3586
671.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1558
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1581
26.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1485
24.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23049
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25242
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
25208
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
1942
145.0 IPS |
|
|
Object Detection (F16)
|
100% |
2878
214.9 IPS |
|
|
Object Detection (I8)
|
97% |
2672
199.5 IPS |
|
|
Face Detection (F32)
|
100% |
9393
111.7 IPS |
|
|
Face Detection (F16)
|
98% |
7818
93.0 IPS |
|
|
Face Detection (I8)
|
97% |
10865
129.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15983
123.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17571
136.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
17833
138.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40300
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47633
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
44666
58.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5922
211.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8967
320.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8728
311.7 IPS |
|
|
Text Classification (F32)
|
100% |
2188
3.14 KIPS |
|
|
Text Classification (F16)
|
100% |
3564
5.12 KIPS |
|
|
Text Classification (I8)
|
96% |
3391
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
1162
21.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1154
21.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1099
20.2 IPS |
