Mac16,13
Geekbench AI Score
8991
Single Precision Score
10942
Half Precision Score
10322
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jrondorf |
| Upload Date | April 21 2025 07:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4416
821.3 IPS |
|
|
Image Classification (HP)
|
100% |
4793
891.3 IPS |
|
|
Image Classification (Q)
|
96% |
4615
861.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7002
113.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7772
126.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7579
122.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27373
31.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
29709
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
28885
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
4506
357.4 IPS |
|
|
Object Detection (HP)
|
100% |
5167
409.8 IPS |
|
|
Object Detection (Q)
|
92% |
4734
377.9 IPS |
|
|
Face Detection (SP)
|
100% |
12724
151.2 IPS |
|
|
Face Detection (HP)
|
100% |
15727
186.9 IPS |
|
|
Face Detection (Q)
|
100% |
13231
157.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20245
156.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22246
171.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
20368
159.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56443
72.6 IPS |
|
|
Style Transfer (HP)
|
100% |
66299
85.2 IPS |
|
|
Style Transfer (Q)
|
96% |
64053
82.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11518
425.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12637
466.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11013
406.6 IPS |
|
|
Text Classification (SP)
|
100% |
3017
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5469
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5524
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1792
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2684
46.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2736
47.3 IPS |
