MacBook Pro (13-inch, 2022)
Geekbench ML Score
6072
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 26 2025 06:55 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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% |
3242
606.6 IPS |
|
|
Image Classification (F16)
|
100% |
3502
655.3 IPS |
|
|
Image Classification (I8)
|
99% |
3485
652.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1595
26.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1614
27.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1421
23.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22987
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
25083
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25402
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2804
209.4 IPS |
|
|
Object Detection (F16)
|
100% |
2907
217.0 IPS |
|
|
Object Detection (I8)
|
97% |
2852
212.9 IPS |
|
|
Face Detection (F32)
|
100% |
9359
111.3 IPS |
|
|
Face Detection (F16)
|
98% |
10749
127.8 IPS |
|
|
Face Detection (I8)
|
97% |
10796
128.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16522
128.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17540
136.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
17480
135.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40172
52.8 IPS |
|
|
Style Transfer (F16)
|
100% |
47122
62.0 IPS |
|
|
Style Transfer (I8)
|
100% |
45345
59.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8516
304.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9251
330.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10378
370.6 IPS |
|
|
Text Classification (F32)
|
100% |
1031
1.48 KIPS |
|
|
Text Classification (F16)
|
100% |
3444
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3412
4.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
1087
20.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1135
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1115
20.5 IPS |
