MacBook Pro (13-inch, 2022)
Geekbench ML Score
6030
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 01 2025 07:07 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5068b) |
| 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 | 3.23 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% |
3389
634.1 IPS |
|
|
Image Classification (F16)
|
100% |
3397
635.7 IPS |
|
|
Image Classification (I8)
|
99% |
3424
640.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1362
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1344
22.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1420
23.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23062
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25632
31.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
25055
30.3 IPS |
|
|
Object Detection (F32)
|
100% |
2675
199.7 IPS |
|
|
Object Detection (F16)
|
100% |
2804
209.4 IPS |
|
|
Object Detection (I8)
|
97% |
2810
209.8 IPS |
|
|
Face Detection (F32)
|
100% |
8919
106.1 IPS |
|
|
Face Detection (F16)
|
98% |
10120
120.3 IPS |
|
|
Face Detection (I8)
|
97% |
10040
119.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15922
123.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17179
133.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
17219
133.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40000
52.6 IPS |
|
|
Style Transfer (F16)
|
100% |
46860
61.6 IPS |
|
|
Style Transfer (I8)
|
100% |
47508
62.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8454
301.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8652
309.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9507
339.5 IPS |
|
|
Text Classification (F32)
|
100% |
2068
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3495
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3497
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1066
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1068
19.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1056
19.4 IPS |
