Mac16,10
Geekbench AI Score
9350
Single Precision Score
10636
Half Precision Score
9930
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | icreatefrance |
| Upload Date | November 13 2024 01:26 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4875
906.6 IPS |
|
|
Image Classification (HP)
|
100% |
5187
964.6 IPS |
|
|
Image Classification (Q)
|
97% |
4506
841.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4920
79.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7132
115.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7699
124.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
30224
35.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32275
37.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
30765
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
5031
399.1 IPS |
|
|
Object Detection (HP)
|
100% |
5550
440.3 IPS |
|
|
Object Detection (Q)
|
91% |
4758
380.2 IPS |
|
|
Face Detection (SP)
|
100% |
13082
155.4 IPS |
|
|
Face Detection (HP)
|
100% |
16610
197.4 IPS |
|
|
Face Detection (Q)
|
100% |
12408
147.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22019
169.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24198
186.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
20645
161.4 IPS |
|
|
Style Transfer (SP)
|
100% |
59129
76.0 IPS |
|
|
Style Transfer (HP)
|
100% |
72662
93.4 IPS |
|
|
Style Transfer (Q)
|
96% |
68133
87.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13068
482.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13771
508.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11437
422.3 IPS |
|
|
Text Classification (SP)
|
100% |
3039
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5526
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5361
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2070
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1717
29.7 IPS |
