Mac16,10
Geekbench AI Score
8567
Single Precision Score
10519
Half Precision Score
9352
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | cyberspider |
| Upload Date | March 30 2025 05:47 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
4618
858.9 IPS |
|
|
Image Classification (HP)
|
100% |
5159
959.4 IPS |
|
|
Image Classification (Q)
|
97% |
4354
812.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4912
79.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6987
113.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7562
122.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29965
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32095
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30565
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4997
396.3 IPS |
|
|
Object Detection (HP)
|
100% |
5462
433.2 IPS |
|
|
Object Detection (Q)
|
91% |
4710
376.4 IPS |
|
|
Face Detection (SP)
|
100% |
13000
154.5 IPS |
|
|
Face Detection (HP)
|
100% |
16029
190.5 IPS |
|
|
Face Detection (Q)
|
100% |
12410
147.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21340
164.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23892
184.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20513
160.3 IPS |
|
|
Style Transfer (SP)
|
100% |
58652
75.4 IPS |
|
|
Style Transfer (HP)
|
100% |
72087
92.7 IPS |
|
|
Style Transfer (Q)
|
96% |
67708
87.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12515
462.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13729
507.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10697
395.0 IPS |
|
|
Text Classification (SP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5471
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5365
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1092
18.9 IPS |
