Mac16,13
Geekbench AI Score
4713
Single Precision Score
32754
Half Precision Score
38821
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | June 08 2025 10:49 PM |
| Views | 4 |
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% |
2039
379.2 IPS |
|
|
Image Classification (HP)
|
100% |
17450
3.25 KIPS |
|
|
Image Classification (Q)
|
99% |
19839
3.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17700
286.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
17029
276.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9940
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
118434
138.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
225381
264.4 IPS |
|
|
Object Detection (SP)
|
100% |
2411
191.3 IPS |
|
|
Object Detection (HP)
|
100% |
17238
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25744
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4050
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
27782
330.1 IPS |
|
|
Face Detection (Q)
|
100% |
42183
501.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8456
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
82443
635.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
92911
718.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20447
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
168836
217.0 IPS |
|
|
Style Transfer (Q)
|
100% |
169660
218.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6068
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50457
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
88941
3.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3069
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
7674
10.2 KIPS |
|
|
Text Classification (Q)
|
93% |
3728
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4013
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
15052
259.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17990
310.9 IPS |
