Mac16,13
Geekbench AI Score
4921
Single Precision Score
36418
Half Precision Score
51293
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | November 05 2025 12:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
17724
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
25443
4.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2067
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22239
360.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30065
487.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9942
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123469
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232534
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
17840
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25965
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4276
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
42714
507.5 IPS |
|
|
Face Detection (Q)
|
100% |
60279
716.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8533
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100489
774.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
164715
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24118
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232998
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
320542
413.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6099
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51656
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85500
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5563
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5549
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4554
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16449
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18079
312.4 IPS |
