Mac16,10
Geekbench AI Score
4770
Single Precision Score
7870
Half Precision Score
6291
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | notakaos |
| Upload Date | July 28 2025 02:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2078
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
3354
623.7 IPS |
|
|
Image Classification (Q)
|
96% |
2261
422.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3147
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3585
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9887
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19395
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16619
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2420
192.0 IPS |
|
|
Object Detection (HP)
|
97% |
3771
300.2 IPS |
|
|
Object Detection (Q)
|
94% |
2684
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
4170
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
7391
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4318
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8155
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14565
112.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10205
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21987
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38464
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31836
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6069
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7183
265.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5022
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5448
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5386
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4354
75.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7287
125.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7086
122.5 IPS |
