Mac16,10
Geekbench AI Score
4750
Single Precision Score
7797
Half Precision Score
6302
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | XeiyrosDogon |
| Upload Date | November 10 2024 07:42 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2036
378.6 IPS |
|
|
Image Classification (HP)
|
100% |
3281
610.2 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3168
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3618
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10081
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19093
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16514
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2287
181.4 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2718
216.6 IPS |
|
|
Face Detection (SP)
|
100% |
3882
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
7369
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
4352
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8327
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14704
113.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10251
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25307
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38274
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31740
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5879
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6802
251.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4799
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
3120
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
5647
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5620
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3942
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6928
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6900
119.2 IPS |
