MacBook Pro (13-inch, 2022)
Geekbench ML Score
5798
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 19 2025 09:49 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 3.48 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% |
3185
596.0 IPS |
|
|
Image Classification (F16)
|
100% |
2175
407.0 IPS |
|
|
Image Classification (I8)
|
99% |
3026
566.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1207
20.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1410
23.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1587
26.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
21935
26.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25899
31.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25450
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2799
209.0 IPS |
|
|
Object Detection (F16)
|
100% |
2766
206.5 IPS |
|
|
Object Detection (I8)
|
97% |
2786
208.0 IPS |
|
|
Face Detection (F32)
|
100% |
8825
104.9 IPS |
|
|
Face Detection (F16)
|
98% |
10702
127.2 IPS |
|
|
Face Detection (I8)
|
97% |
10696
127.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16374
127.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17071
132.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
17696
137.2 IPS |
|
|
Style Transfer (F32)
|
100% |
41071
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47450
62.4 IPS |
|
|
Style Transfer (I8)
|
100% |
42681
56.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7056
252.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8831
315.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10163
363.0 IPS |
|
|
Text Classification (F32)
|
100% |
2061
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
2209
3.17 KIPS |
|
|
Text Classification (I8)
|
96% |
3307
4.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
930
17.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1103
20.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1105
20.3 IPS |
