MacBook Pro (13-inch, 2022)
Geekbench ML Score
6191
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 25 2025 06:22 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 3.29 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% |
3334
623.9 IPS |
|
|
Image Classification (F16)
|
100% |
3372
630.9 IPS |
|
|
Image Classification (I8)
|
99% |
3444
644.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1444
24.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1476
24.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1542
25.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23062
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
24274
29.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25163
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
2617
195.4 IPS |
|
|
Object Detection (F16)
|
100% |
2906
216.9 IPS |
|
|
Object Detection (I8)
|
97% |
2876
214.7 IPS |
|
|
Face Detection (F32)
|
100% |
9267
110.2 IPS |
|
|
Face Detection (F16)
|
98% |
10717
127.4 IPS |
|
|
Face Detection (I8)
|
97% |
10497
124.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15998
124.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
16990
131.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
17360
134.6 IPS |
|
|
Style Transfer (F32)
|
100% |
39271
51.7 IPS |
|
|
Style Transfer (F16)
|
100% |
47248
62.2 IPS |
|
|
Style Transfer (I8)
|
100% |
47743
62.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9899
353.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10226
365.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10434
372.6 IPS |
|
|
Text Classification (F32)
|
100% |
2067
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3431
4.93 KIPS |
|
|
Text Classification (I8)
|
96% |
3477
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1081
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1080
19.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1090
20.1 IPS |
