Mac16,13
Geekbench AI Score
4854
Single Precision Score
36839
Half Precision Score
52802
Quantized Score
Geekbench AI 1.5.0 Corporate for macOS AArch64
Result Information
| Upload Date | September 10 2025 05:34 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% |
2058
382.7 IPS |
|
|
Image Classification (HP)
|
100% |
18815
3.50 KIPS |
|
|
Image Classification (Q)
|
97% |
27130
5.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21267
344.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30300
491.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10020
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122538
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231847
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
18870
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26321
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4307
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
43882
521.4 IPS |
|
|
Face Detection (Q)
|
100% |
63914
759.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8674
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99115
763.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
171727
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21810
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
229305
294.8 IPS |
|
|
Style Transfer (Q)
|
96% |
295695
381.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6130
226.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49329
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85057
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6134
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6657
8.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4409
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16489
284.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18275
315.8 IPS |
