Mac16,10
Geekbench AI Score
9025
Single Precision Score
10368
Half Precision Score
9412
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Peritus |
| Upload Date | November 29 2024 07:12 PM |
| 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% |
4603
856.1 IPS |
|
|
Image Classification (HP)
|
100% |
5043
937.8 IPS |
|
|
Image Classification (Q)
|
97% |
4356
813.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5004
81.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7015
113.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7623
123.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29883
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32098
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30548
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5036
399.5 IPS |
|
|
Object Detection (HP)
|
100% |
5440
431.5 IPS |
|
|
Object Detection (Q)
|
91% |
4673
373.4 IPS |
|
|
Face Detection (SP)
|
100% |
13158
156.3 IPS |
|
|
Face Detection (HP)
|
100% |
16740
198.9 IPS |
|
|
Face Detection (Q)
|
100% |
12493
148.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21416
165.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23706
182.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
19801
154.8 IPS |
|
|
Style Transfer (SP)
|
100% |
59082
76.0 IPS |
|
|
Style Transfer (HP)
|
100% |
72710
93.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68039
87.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12833
473.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13445
496.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10840
400.3 IPS |
|
|
Text Classification (SP)
|
100% |
3131
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5457
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5405
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1546
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1168
20.2 IPS |
