Mac16,7
Geekbench AI Score
15397
Single Precision Score
17177
Half Precision Score
15240
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 31 2024 09:08 PM |
| Views | 93 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7750
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
7995
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
6891
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11978
194.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12931
209.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13225
214.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
56673
66.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
59047
68.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55827
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
7211
572.0 IPS |
|
|
Object Detection (HP)
|
100% |
7630
605.2 IPS |
|
|
Object Detection (Q)
|
91% |
6348
507.2 IPS |
|
|
Face Detection (SP)
|
100% |
25735
305.8 IPS |
|
|
Face Detection (HP)
|
100% |
27491
326.7 IPS |
|
|
Face Detection (Q)
|
100% |
20913
248.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33124
255.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35589
274.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
29139
227.7 IPS |
|
|
Style Transfer (SP)
|
100% |
124391
159.9 IPS |
|
|
Style Transfer (HP)
|
100% |
134907
173.4 IPS |
|
|
Style Transfer (Q)
|
96% |
126998
163.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22731
839.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24026
887.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19199
708.9 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5185
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5256
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2796
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2921
50.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2681
46.3 IPS |
