Mac16,7
Geekbench AI Score
5758
Single Precision Score
8835
Half Precision Score
6865
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Capitola |
| Upload Date | November 17 2024 05:08 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2086
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
3031
563.6 IPS |
|
|
Image Classification (Q)
|
96% |
2189
408.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3427
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3919
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18866
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30787
35.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
23863
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
97% |
3837
305.5 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
4526
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
7632
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
4614
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8847
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14294
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10181
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
34972
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49014
63.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38596
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7019
259.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9641
356.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5183
191.4 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5320
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5247
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5739
98.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8613
148.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8682
150.0 IPS |
