Mac16,10
Geekbench AI Score
8590
Single Precision Score
10363
Half Precision Score
9341
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | paulofduarte |
| Upload Date | November 14 2024 02:48 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
4480
833.2 IPS |
|
|
Image Classification (HP)
|
100% |
4834
899.0 IPS |
|
|
Image Classification (Q)
|
97% |
4168
777.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4866
78.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6975
113.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7525
122.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29582
34.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31980
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
30546
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4861
385.6 IPS |
|
|
Object Detection (HP)
|
100% |
5329
422.7 IPS |
|
|
Object Detection (Q)
|
91% |
4588
366.6 IPS |
|
|
Face Detection (SP)
|
100% |
12845
152.6 IPS |
|
|
Face Detection (HP)
|
100% |
16154
191.9 IPS |
|
|
Face Detection (Q)
|
100% |
12177
144.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21134
162.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23492
181.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
20007
156.4 IPS |
|
|
Style Transfer (SP)
|
100% |
59423
76.4 IPS |
|
|
Style Transfer (HP)
|
100% |
72113
92.7 IPS |
|
|
Style Transfer (Q)
|
96% |
67681
87.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12627
466.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13701
505.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10583
390.8 IPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5367
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5257
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1255
21.7 IPS |
