Mac16,7
Geekbench AI Score
15031
Single Precision Score
16890
Half Precision Score
15095
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 12:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
7204
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7608
1.41 KIPS |
|
|
Image Classification (Q)
|
97% |
6495
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11957
193.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12891
209.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13215
214.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
56686
66.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
58975
68.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
55810
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
7052
559.4 IPS |
|
|
Object Detection (HP)
|
100% |
7459
591.7 IPS |
|
|
Object Detection (Q)
|
91% |
6333
506.0 IPS |
|
|
Face Detection (SP)
|
100% |
25356
301.3 IPS |
|
|
Face Detection (HP)
|
100% |
27959
332.2 IPS |
|
|
Face Detection (Q)
|
100% |
20269
240.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33043
254.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35434
273.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
29214
228.3 IPS |
|
|
Style Transfer (SP)
|
100% |
123259
158.5 IPS |
|
|
Style Transfer (HP)
|
100% |
134094
172.4 IPS |
|
|
Style Transfer (Q)
|
96% |
126639
163.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21978
811.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23157
855.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19202
709.0 IPS |
|
|
Text Classification (SP)
|
100% |
2874
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
4971
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4948
6.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2621
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2864
49.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2843
49.1 IPS |
