Mac16,13
Geekbench AI Score
4831
Single Precision Score
36860
Half Precision Score
52333
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | fmps6111 |
| Upload Date | June 23 2025 04:03 AM |
| Views | 6 |
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% |
2079
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
17739
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
25295
4.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21969
356.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
29159
472.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9990
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122516
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232523
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (HP)
|
100% |
19126
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
26501
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4266
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
44255
525.8 IPS |
|
|
Face Detection (Q)
|
100% |
63247
751.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8661
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98806
761.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168451
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21868
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
233027
299.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301340
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6122
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49532
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83580
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2907
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5901
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
6697
8.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4407
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17026
293.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18867
326.0 IPS |
