MacBook Pro (13-inch, 2022)
Geekbench ML Score
5884
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 19 2025 06:20 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
3500
655.0 IPS |
|
|
Image Classification (F16)
|
100% |
3519
658.5 IPS |
|
|
Image Classification (I8)
|
99% |
3494
653.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1196
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1319
22.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1332
22.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23552
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
25217
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
24873
30.1 IPS |
|
|
Object Detection (F32)
|
100% |
2409
179.9 IPS |
|
|
Object Detection (F16)
|
100% |
2804
209.3 IPS |
|
|
Object Detection (I8)
|
97% |
2722
203.2 IPS |
|
|
Face Detection (F32)
|
100% |
8871
105.5 IPS |
|
|
Face Detection (F16)
|
98% |
10366
123.3 IPS |
|
|
Face Detection (I8)
|
97% |
10088
119.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16033
124.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17310
134.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
17719
137.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40936
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
46646
61.4 IPS |
|
|
Style Transfer (I8)
|
100% |
46984
61.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8016
286.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8944
319.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10264
366.6 IPS |
|
|
Text Classification (F32)
|
100% |
2112
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3506
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3446
4.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
869
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
866
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
869
16.0 IPS |
