MacBook Pro (13-inch, 2022)
Geekbench ML Score
6121
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 26 2025 06:29 PM |
| Views | 4 |
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% |
3375
631.5 IPS |
|
|
Image Classification (F16)
|
100% |
3164
592.0 IPS |
|
|
Image Classification (I8)
|
99% |
3142
588.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1528
25.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1610
26.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1603
26.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23038
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
23880
28.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
25097
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2800
209.1 IPS |
|
|
Object Detection (F16)
|
100% |
2943
219.7 IPS |
|
|
Object Detection (I8)
|
97% |
2827
211.1 IPS |
|
|
Face Detection (F32)
|
100% |
8940
106.3 IPS |
|
|
Face Detection (F16)
|
98% |
10154
120.7 IPS |
|
|
Face Detection (I8)
|
97% |
10343
123.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16120
125.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17456
135.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
17533
136.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40802
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
47651
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47708
62.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8486
303.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7961
284.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8661
309.3 IPS |
|
|
Text Classification (F32)
|
100% |
2138
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3650
5.25 KIPS |
|
|
Text Classification (I8)
|
96% |
3576
5.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
1105
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1111
20.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1099
20.2 IPS |
