Mac16,13
Geekbench AI Score
8912
Single Precision Score
10297
Half Precision Score
9711
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nv_ |
| Upload Date | June 07 2025 08:10 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4452
827.8 IPS |
|
|
Image Classification (HP)
|
100% |
4760
885.2 IPS |
|
|
Image Classification (Q)
|
96% |
4459
832.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7218
117.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7726
125.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7571
122.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27668
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29705
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29348
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4562
361.9 IPS |
|
|
Object Detection (HP)
|
100% |
5159
409.2 IPS |
|
|
Object Detection (Q)
|
92% |
4738
378.2 IPS |
|
|
Face Detection (SP)
|
100% |
12525
148.8 IPS |
|
|
Face Detection (HP)
|
100% |
15770
187.4 IPS |
|
|
Face Detection (Q)
|
100% |
13116
155.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20413
157.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21977
169.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20028
156.4 IPS |
|
|
Style Transfer (SP)
|
100% |
55966
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66728
85.8 IPS |
|
|
Style Transfer (Q)
|
96% |
64961
83.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11636
429.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11494
424.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10309
380.6 IPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5533
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5605
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1578
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1617
27.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1612
27.9 IPS |
