MacBook Pro (13-inch, 2022)
Geekbench ML Score
5912
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 07 2025 05:57 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% |
3408
637.7 IPS |
|
|
Image Classification (F16)
|
100% |
3476
650.4 IPS |
|
|
Image Classification (I8)
|
99% |
3434
642.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1464
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1319
22.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1432
23.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23494
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
25445
30.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
25141
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2846
212.5 IPS |
|
|
Object Detection (F16)
|
100% |
2936
219.2 IPS |
|
|
Object Detection (I8)
|
97% |
2868
214.1 IPS |
|
|
Face Detection (F32)
|
100% |
9051
107.6 IPS |
|
|
Face Detection (F16)
|
98% |
10242
121.8 IPS |
|
|
Face Detection (I8)
|
97% |
8316
98.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
15604
121.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17502
135.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
16936
131.3 IPS |
|
|
Style Transfer (F32)
|
100% |
38652
50.8 IPS |
|
|
Style Transfer (F16)
|
100% |
48037
63.2 IPS |
|
|
Style Transfer (I8)
|
100% |
47556
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9858
352.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9424
336.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7680
274.3 IPS |
|
|
Text Classification (F32)
|
100% |
1827
2.63 KIPS |
|
|
Text Classification (F16)
|
100% |
3097
4.45 KIPS |
|
|
Text Classification (I8)
|
96% |
2548
3.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
847
15.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1115
20.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1151
21.2 IPS |
