Mac16,13
Geekbench AI Score
4110
Single Precision Score
35993
Half Precision Score
51191
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 28 2025 06:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.03 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1689
314.0 IPS |
|
|
Image Classification (HP)
|
100% |
17440
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
25446
4.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1798
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22119
358.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30447
493.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8133
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
121955
142.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
228721
268.1 IPS |
|
|
Object Detection (SP)
|
100% |
2210
175.3 IPS |
|
|
Object Detection (HP)
|
100% |
18905
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
25819
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3605
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
43183
513.1 IPS |
|
|
Face Detection (Q)
|
100% |
62432
741.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7001
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
93931
723.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
166295
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
13986
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
231053
297.0 IPS |
|
|
Style Transfer (Q)
|
96% |
318729
411.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5566
205.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51845
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88337
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3340
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5794
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5692
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3844
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
14576
251.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16235
280.6 IPS |
