MacBook Pro (13-inch, 2022)
Geekbench ML Score
5782
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 27 2025 06:03 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 | 3.47 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% |
3381
632.7 IPS |
|
|
Image Classification (F16)
|
100% |
3519
658.6 IPS |
|
|
Image Classification (I8)
|
99% |
3510
656.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1371
22.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1589
26.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1520
25.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23087
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25139
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
24000
29.1 IPS |
|
|
Object Detection (F32)
|
100% |
1602
119.6 IPS |
|
|
Object Detection (F16)
|
100% |
2493
186.1 IPS |
|
|
Object Detection (I8)
|
97% |
2809
209.7 IPS |
|
|
Face Detection (F32)
|
100% |
9050
107.6 IPS |
|
|
Face Detection (F16)
|
98% |
10276
122.2 IPS |
|
|
Face Detection (I8)
|
97% |
8915
106.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
9742
75.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17903
138.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
17361
134.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40140
52.8 IPS |
|
|
Style Transfer (F16)
|
100% |
33685
44.3 IPS |
|
|
Style Transfer (I8)
|
100% |
25680
33.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9624
343.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9682
345.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10865
388.0 IPS |
|
|
Text Classification (F32)
|
100% |
2205
3.17 KIPS |
|
|
Text Classification (F16)
|
100% |
3502
5.03 KIPS |
|
|
Text Classification (I8)
|
96% |
3463
4.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
1142
21.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1172
21.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1068
19.7 IPS |
