MacBook Pro (13-inch, 2022)
Geekbench ML Score
6175
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 03 2025 06:25 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
3506
656.1 IPS |
|
|
Image Classification (F16)
|
100% |
3518
658.2 IPS |
|
|
Image Classification (I8)
|
99% |
3561
666.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1333
22.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1568
26.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1513
25.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23476
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25099
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25293
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2925
218.4 IPS |
|
|
Object Detection (F16)
|
100% |
2657
198.4 IPS |
|
|
Object Detection (I8)
|
97% |
2835
211.6 IPS |
|
|
Face Detection (F32)
|
100% |
8942
106.3 IPS |
|
|
Face Detection (F16)
|
98% |
10175
121.0 IPS |
|
|
Face Detection (I8)
|
97% |
10144
120.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16939
131.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17391
134.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17461
135.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40909
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
47536
62.5 IPS |
|
|
Style Transfer (I8)
|
100% |
47318
62.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8282
295.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10544
376.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10325
368.7 IPS |
|
|
Text Classification (F32)
|
100% |
2007
2.88 KIPS |
|
|
Text Classification (F16)
|
100% |
2883
4.14 KIPS |
|
|
Text Classification (I8)
|
96% |
3594
5.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
1109
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1130
20.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1120
20.6 IPS |
