Mac16,10
Geekbench AI Score
9381
Single Precision Score
11262
Half Precision Score
10055
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 07:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4987
927.5 IPS |
|
|
Image Classification (HP)
|
100% |
5191
965.3 IPS |
|
|
Image Classification (Q)
|
97% |
4407
822.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4929
79.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7020
113.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7584
122.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29942
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32091
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30641
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
4993
396.0 IPS |
|
|
Object Detection (HP)
|
100% |
5459
433.0 IPS |
|
|
Object Detection (Q)
|
91% |
4655
372.0 IPS |
|
|
Face Detection (SP)
|
100% |
13014
154.6 IPS |
|
|
Face Detection (HP)
|
100% |
16417
195.1 IPS |
|
|
Face Detection (Q)
|
100% |
12496
148.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22232
171.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24648
189.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
20925
163.6 IPS |
|
|
Style Transfer (SP)
|
100% |
60631
77.9 IPS |
|
|
Style Transfer (HP)
|
100% |
73514
94.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68939
89.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13228
488.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13684
505.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10763
397.4 IPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5550
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5471
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2067
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2089
36.1 IPS |
