Mac16,7
Geekbench AI Score
15500
Single Precision Score
17459
Half Precision Score
14893
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 04:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
7803
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
8394
1.56 KIPS |
|
|
Image Classification (Q)
|
97% |
7050
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12222
198.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13126
212.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13426
217.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
56785
66.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
59027
68.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55975
65.6 IPS |
|
|
Object Detection (SP)
|
100% |
7183
569.8 IPS |
|
|
Object Detection (HP)
|
100% |
7755
615.1 IPS |
|
|
Object Detection (Q)
|
91% |
6360
508.2 IPS |
|
|
Face Detection (SP)
|
100% |
25773
306.2 IPS |
|
|
Face Detection (HP)
|
100% |
28195
335.0 IPS |
|
|
Face Detection (Q)
|
100% |
20320
241.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33173
255.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
36390
280.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
29069
227.2 IPS |
|
|
Style Transfer (SP)
|
100% |
123516
158.8 IPS |
|
|
Style Transfer (HP)
|
100% |
134797
173.3 IPS |
|
|
Style Transfer (Q)
|
96% |
126887
163.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23472
866.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24198
893.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19972
737.5 IPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5285
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5172
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2825
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2951
50.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2058
35.6 IPS |
