Mac16,8
Geekbench AI Score
15719
Single Precision Score
17502
Half Precision Score
15644
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 04:26 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,8 |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8025
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
8414
1.56 KIPS |
|
|
Image Classification (Q)
|
97% |
7076
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12233
198.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13142
213.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13487
218.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
57013
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59395
69.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
56296
66.0 IPS |
|
|
Object Detection (SP)
|
100% |
7440
590.1 IPS |
|
|
Object Detection (HP)
|
100% |
7906
627.1 IPS |
|
|
Object Detection (Q)
|
91% |
6605
527.8 IPS |
|
|
Face Detection (SP)
|
100% |
25994
308.9 IPS |
|
|
Face Detection (HP)
|
100% |
27711
329.3 IPS |
|
|
Face Detection (Q)
|
100% |
21413
254.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
34114
262.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
36615
282.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
30426
237.8 IPS |
|
|
Style Transfer (SP)
|
100% |
124438
160.0 IPS |
|
|
Style Transfer (HP)
|
100% |
135231
173.8 IPS |
|
|
Style Transfer (Q)
|
96% |
128221
165.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23091
852.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24876
918.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20255
747.9 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5318
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5293
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2920
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2863
49.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2763
47.7 IPS |
