Mac16,13
Geekbench AI Score
4848
Single Precision Score
36688
Half Precision Score
52395
Quantized Score
Geekbench AI 1.5.0 Corporate for macOS AArch64
Result Information
| Upload Date | September 10 2025 05:10 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% |
2087
388.1 IPS |
|
|
Image Classification (HP)
|
100% |
17595
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
26675
4.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21971
356.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30238
490.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10013
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122559
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231795
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
100% |
18930
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26217
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4254
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
43765
520.0 IPS |
|
|
Face Detection (Q)
|
100% |
63645
756.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8685
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99678
768.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
168211
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21760
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
229383
294.9 IPS |
|
|
Style Transfer (Q)
|
96% |
295614
381.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6147
227.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49369
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82998
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6064
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6656
8.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4363
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16446
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18197
314.5 IPS |
