Mac16,7
Geekbench AI Score
5757
Single Precision Score
31626
Half Precision Score
38779
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | November 01 2024 09:05 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2083
387.4 IPS |
|
|
Image Classification (HP)
|
100% |
17088
3.18 KIPS |
|
|
Image Classification (Q)
|
99% |
17527
3.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17941
290.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
17967
291.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18811
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
118761
138.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
223368
262.0 IPS |
|
|
Object Detection (SP)
|
100% |
2476
196.4 IPS |
|
|
Object Detection (HP)
|
100% |
17901
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
23187
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
4562
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
27697
329.1 IPS |
|
|
Face Detection (Q)
|
100% |
47183
560.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8791
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87727
675.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
95758
740.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35643
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
171351
220.3 IPS |
|
|
Style Transfer (Q)
|
100% |
169245
217.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7013
259.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46143
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
76905
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4938
6.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4942
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5742
98.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16194
279.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16227
280.4 IPS |
