Mac16,13
Geekbench AI Score
4807
Single Precision Score
36097
Half Precision Score
50332
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 29 2025 07:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2053
381.8 IPS |
|
|
Image Classification (HP)
|
100% |
17354
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
23805
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21092
341.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30100
487.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9971
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122944
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231674
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (HP)
|
100% |
18329
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25673
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4224
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
40483
481.0 IPS |
|
|
Face Detection (Q)
|
100% |
63084
749.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8552
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99104
763.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
167156
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21655
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
234153
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
295926
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6132
226.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48983
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82509
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5989
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5187
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4335
74.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16526
284.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18335
316.8 IPS |
