MacBook Pro (13-inch, 2022)
Geekbench ML Score
5583
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 07 2025 02:27 PM |
| Views | 5 |
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 | 3.29 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% |
3407
637.5 IPS |
|
|
Image Classification (F16)
|
100% |
3479
650.9 IPS |
|
|
Image Classification (I8)
|
99% |
3438
643.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1362
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1445
24.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1362
22.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
17516
21.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
25242
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
25428
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2253
168.2 IPS |
|
|
Object Detection (F16)
|
100% |
1457
108.8 IPS |
|
|
Object Detection (I8)
|
97% |
2824
210.8 IPS |
|
|
Face Detection (F32)
|
100% |
8803
104.7 IPS |
|
|
Face Detection (F16)
|
98% |
8606
102.3 IPS |
|
|
Face Detection (I8)
|
97% |
10144
120.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16064
124.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17711
137.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
14932
115.8 IPS |
|
|
Style Transfer (F32)
|
100% |
36649
48.2 IPS |
|
|
Style Transfer (F16)
|
100% |
47297
62.2 IPS |
|
|
Style Transfer (I8)
|
100% |
47282
62.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8495
303.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6040
215.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6290
224.6 IPS |
|
|
Text Classification (F32)
|
100% |
2144
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3525
5.07 KIPS |
|
|
Text Classification (I8)
|
96% |
3244
4.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
907
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1067
19.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1094
20.1 IPS |
