Mac16,13
Geekbench AI Score
4918
Single Precision Score
36891
Half Precision Score
52171
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | pmjbf |
| Upload Date | September 14 2025 06:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2089
388.5 IPS |
|
|
Image Classification (HP)
|
100% |
17818
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
24979
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2066
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22194
359.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30603
496.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9999
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123065
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232395
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
18209
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
27003
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4225
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
43513
517.0 IPS |
|
|
Face Detection (Q)
|
100% |
62522
742.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8466
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99835
769.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
167397
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24242
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232802
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
324035
418.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6081
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53358
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85086
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3346
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5856
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5824
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4499
77.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16675
287.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18531
320.2 IPS |
