Mac16,13
Geekbench AI Score
4831
Single Precision Score
37002
Half Precision Score
52684
Quantized Score
Geekbench AI 1.5.0 Corporate for macOS AArch64
Result Information
| Upload Date | September 10 2025 05:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
18298
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
28237
5.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2188
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22061
357.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30344
491.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9988
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122722
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231596
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
19097
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26621
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4266
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
44523
529.0 IPS |
|
|
Face Detection (Q)
|
100% |
64144
762.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8666
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
100767
776.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
169654
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21556
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232479
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
294906
380.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6155
227.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49573
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83641
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2898
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
6027
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
6390
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4401
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16320
281.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18181
314.2 IPS |
