Mac16,7
Geekbench AI Score
5778
Single Precision Score
8940
Half Precision Score
6906
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 31 2024 09:01 PM |
| Views | 35 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,7 |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2081
386.9 IPS |
|
|
Image Classification (HP)
|
100% |
3041
565.5 IPS |
|
|
Image Classification (Q)
|
96% |
2182
407.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2460
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3451
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3943
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18846
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31632
36.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24194
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
97% |
3815
303.7 IPS |
|
|
Object Detection (Q)
|
94% |
2650
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
4606
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
8040
95.5 IPS |
|
|
Face Detection (Q)
|
100% |
4689
55.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8927
68.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14649
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10260
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35868
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
50324
64.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39426
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7020
259.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9387
346.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5222
192.8 IPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5290
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5198
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5691
98.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8753
151.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8696
150.3 IPS |
