Mac16,10
Geekbench AI Score
8531
Single Precision Score
10302
Half Precision Score
9510
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | saronian |
| Upload Date | January 28 2025 09:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
4633
861.7 IPS |
|
|
Image Classification (HP)
|
100% |
4988
927.6 IPS |
|
|
Image Classification (Q)
|
97% |
4360
813.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4965
80.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7040
114.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7571
122.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29794
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32104
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30494
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
5000
396.6 IPS |
|
|
Object Detection (HP)
|
100% |
5433
430.9 IPS |
|
|
Object Detection (Q)
|
91% |
4648
371.4 IPS |
|
|
Face Detection (SP)
|
100% |
12792
152.0 IPS |
|
|
Face Detection (HP)
|
100% |
15800
187.7 IPS |
|
|
Face Detection (Q)
|
100% |
12363
146.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21391
164.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23471
180.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20295
158.6 IPS |
|
|
Style Transfer (SP)
|
100% |
58750
75.5 IPS |
|
|
Style Transfer (HP)
|
100% |
72001
92.6 IPS |
|
|
Style Transfer (Q)
|
96% |
67724
87.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12382
457.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13732
507.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10700
395.1 IPS |
|
|
Text Classification (SP)
|
100% |
3057
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5493
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5541
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1285
22.2 IPS |
