Mac16,10
Geekbench AI Score
4735
Single Precision Score
36250
Half Precision Score
50500
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | sampatel |
| Upload Date | November 16 2024 06:57 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2043
379.9 IPS |
|
|
Image Classification (HP)
|
100% |
17877
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
24693
4.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21864
354.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
29897
484.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10093
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123917
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
233117
273.2 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
100% |
17894
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25708
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4052
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
43360
515.2 IPS |
|
|
Face Detection (Q)
|
100% |
60909
723.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8384
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99455
766.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
169522
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25433
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
235217
302.4 IPS |
|
|
Style Transfer (Q)
|
96% |
297561
384.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5782
213.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50071
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86852
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5499
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5160
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3910
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16191
278.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17710
306.1 IPS |
