Mac16,11
Geekbench AI Score
5753
Single Precision Score
38152
Half Precision Score
51687
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | HdwJunkie |
| Upload Date | November 24 2024 02:32 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
17875
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
22770
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23263
377.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32951
534.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18810
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
123708
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231984
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2494
197.9 IPS |
|
|
Object Detection (HP)
|
100% |
20279
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
24230
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4526
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
45173
536.8 IPS |
|
|
Face Detection (Q)
|
100% |
63733
757.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8794
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
112272
865.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
182673
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
35391
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
238179
306.2 IPS |
|
|
Style Transfer (Q)
|
96% |
304326
392.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7038
259.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46850
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80862
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6679
8.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6834
9.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5752
99.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16575
285.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16481
284.8 IPS |
