Mac16,13
Geekbench AI Score
4760
Single Precision Score
37318
Half Precision Score
53732
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | notakaos |
| Upload Date | July 12 2025 03:53 PM |
| Views | 3 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2027
376.9 IPS |
|
|
Image Classification (HP)
|
100% |
17665
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
25515
4.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22093
358.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30123
488.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9828
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122753
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
230839
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2397
190.1 IPS |
|
|
Object Detection (HP)
|
100% |
19057
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26580
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4099
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
43765
520.0 IPS |
|
|
Face Detection (Q)
|
100% |
61924
735.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8556
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100304
772.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
169917
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21653
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
237201
304.9 IPS |
|
|
Style Transfer (Q)
|
96% |
298118
384.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6054
223.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50278
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87887
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
2956
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6727
8.98 KIPS |
|
|
Text Classification (Q)
|
93% |
8467
11.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
4371
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16296
280.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18226
315.0 IPS |
