Mac16,7
Geekbench AI Score
5728
Single Precision Score
8892
Half Precision Score
6867
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 12:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2063
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
3024
562.4 IPS |
|
|
Image Classification (Q)
|
96% |
2173
405.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3506
56.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3940
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18884
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31973
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24485
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.9 IPS |
|
|
Object Detection (HP)
|
97% |
3823
304.3 IPS |
|
|
Object Detection (Q)
|
94% |
2645
210.9 IPS |
|
|
Face Detection (SP)
|
100% |
4609
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
8017
95.3 IPS |
|
|
Face Detection (Q)
|
100% |
4673
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8704
67.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14619
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10335
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35519
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
50013
64.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39497
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6946
256.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9451
349.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5154
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
2865
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
4979
6.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4940
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5695
98.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8655
149.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8671
149.8 IPS |
