Mac16,10
Geekbench AI Score
8663
Single Precision Score
10602
Half Precision Score
9338
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | vinebeat |
| Upload Date | November 23 2024 09:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
4807
893.9 IPS |
|
|
Image Classification (HP)
|
100% |
5176
962.5 IPS |
|
|
Image Classification (Q)
|
97% |
4359
813.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4856
78.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6955
112.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7615
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29938
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32131
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30654
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
5031
399.1 IPS |
|
|
Object Detection (HP)
|
100% |
5547
440.0 IPS |
|
|
Object Detection (Q)
|
91% |
4688
374.6 IPS |
|
|
Face Detection (SP)
|
100% |
12765
151.7 IPS |
|
|
Face Detection (HP)
|
100% |
16339
194.1 IPS |
|
|
Face Detection (Q)
|
100% |
12325
146.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22175
170.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23988
184.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20623
161.2 IPS |
|
|
Style Transfer (SP)
|
100% |
60361
77.6 IPS |
|
|
Style Transfer (HP)
|
100% |
72800
93.6 IPS |
|
|
Style Transfer (Q)
|
96% |
67793
87.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12775
471.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13810
509.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11274
416.3 IPS |
|
|
Text Classification (SP)
|
100% |
3001
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5512
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5409
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1006
17.4 IPS |
