Mac16,7
Geekbench AI Score
5757
Single Precision Score
8868
Half Precision Score
6879
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 04:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
3024
562.4 IPS |
|
|
Image Classification (Q)
|
96% |
2177
406.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3445
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3918
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18906
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31089
36.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24219
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.1 IPS |
|
|
Object Detection (Q)
|
94% |
2649
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
4593
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
7880
93.6 IPS |
|
|
Face Detection (Q)
|
100% |
4627
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8801
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14324
110.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10184
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35456
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50052
64.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38539
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7016
259.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9542
352.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5358
197.8 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5179
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5195
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5732
98.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8746
151.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8588
148.4 IPS |
