MacBook Pro (13-inch, 2022)
Geekbench ML Score
5766
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 04 2025 06:43 PM |
| Views | 8 |
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 | 3.46 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% |
3427
641.2 IPS |
|
|
Image Classification (F16)
|
100% |
3054
571.5 IPS |
|
|
Image Classification (I8)
|
99% |
3467
648.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1378
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1337
22.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1495
25.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23132
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25358
30.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
22596
27.4 IPS |
|
|
Object Detection (F32)
|
100% |
2854
213.1 IPS |
|
|
Object Detection (F16)
|
100% |
2957
220.8 IPS |
|
|
Object Detection (I8)
|
97% |
2639
197.0 IPS |
|
|
Face Detection (F32)
|
100% |
6451
76.7 IPS |
|
|
Face Detection (F16)
|
98% |
10298
122.4 IPS |
|
|
Face Detection (I8)
|
97% |
10140
120.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15990
124.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
15379
119.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
17306
134.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40907
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
44610
58.7 IPS |
|
|
Style Transfer (I8)
|
100% |
46183
60.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7953
284.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8301
296.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10285
367.3 IPS |
|
|
Text Classification (F32)
|
100% |
1997
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3341
4.80 KIPS |
|
|
Text Classification (I8)
|
96% |
2015
2.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
896
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1078
19.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1068
19.7 IPS |
