Mac16,10
Geekbench AI Score
8679
Single Precision Score
10529
Half Precision Score
9242
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | oscarbg81 |
| Upload Date | November 07 2024 07:45 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A8332) |
| 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% |
4635
862.0 IPS |
|
|
Image Classification (HP)
|
100% |
5145
956.8 IPS |
|
|
Image Classification (Q)
|
97% |
3876
723.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4876
79.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6980
113.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7458
120.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29768
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32046
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
29771
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
5006
397.1 IPS |
|
|
Object Detection (HP)
|
100% |
5522
438.0 IPS |
|
|
Object Detection (Q)
|
91% |
4392
350.9 IPS |
|
|
Face Detection (SP)
|
100% |
12957
154.0 IPS |
|
|
Face Detection (HP)
|
100% |
16125
191.6 IPS |
|
|
Face Detection (Q)
|
100% |
12239
145.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21242
163.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23583
181.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
18835
147.2 IPS |
|
|
Style Transfer (SP)
|
100% |
59003
75.8 IPS |
|
|
Style Transfer (HP)
|
100% |
71572
92.0 IPS |
|
|
Style Transfer (Q)
|
96% |
67241
86.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12562
463.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13730
507.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10375
383.1 IPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5371
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5459
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1199
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1371
23.7 IPS |
