Mac16,13
Geekbench AI Score
4826
Single Precision Score
7881
Half Precision Score
6341
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | zypher666 |
| Upload Date | April 09 2025 08:08 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2087
388.1 IPS |
|
|
Image Classification (HP)
|
100% |
3345
622.0 IPS |
|
|
Image Classification (Q)
|
96% |
2347
438.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3137
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3596
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9966
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19368
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16695
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
97% |
3798
302.3 IPS |
|
|
Object Detection (Q)
|
94% |
2714
216.4 IPS |
|
|
Face Detection (SP)
|
100% |
4265
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
7505
89.2 IPS |
|
|
Face Detection (Q)
|
100% |
4365
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8612
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14697
113.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10292
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21338
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38404
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31849
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6087
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7266
268.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4983
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5375
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5395
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4453
76.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7239
125.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7146
123.5 IPS |
