MacBook Pro (13-inch, 2022)
Geekbench ML Score
4894
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 30 2025 05:24 PM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 3.02 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% |
2636
493.3 IPS |
|
|
Image Classification (F16)
|
100% |
2759
516.2 IPS |
|
|
Image Classification (I8)
|
99% |
2597
485.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1051
17.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1022
17.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1003
16.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
21826
26.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
24588
29.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
25014
30.3 IPS |
|
|
Object Detection (F32)
|
100% |
1496
111.7 IPS |
|
|
Object Detection (F16)
|
100% |
2382
177.9 IPS |
|
|
Object Detection (I8)
|
97% |
2148
160.4 IPS |
|
|
Face Detection (F32)
|
100% |
7902
94.0 IPS |
|
|
Face Detection (F16)
|
98% |
9751
115.9 IPS |
|
|
Face Detection (I8)
|
97% |
9811
116.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15005
116.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
16238
125.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
14153
109.8 IPS |
|
|
Style Transfer (F32)
|
100% |
36833
48.5 IPS |
|
|
Style Transfer (F16)
|
100% |
46345
61.0 IPS |
|
|
Style Transfer (I8)
|
100% |
45286
59.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4890
174.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5081
181.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5504
196.6 IPS |
|
|
Text Classification (F32)
|
100% |
1909
2.74 KIPS |
|
|
Text Classification (F16)
|
100% |
3101
4.46 KIPS |
|
|
Text Classification (I8)
|
96% |
2985
4.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
738
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
750
13.8 IPS |
|
|
Machine Translation (I8)
|
99% |
872
16.0 IPS |
