Mac16,10
Geekbench AI Score
10145
Single Precision Score
11915
Half Precision Score
10911
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | notakaos |
| Upload Date | July 28 2025 02:42 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4764
886.0 IPS |
|
|
Image Classification (HP)
|
100% |
5281
982.0 IPS |
|
|
Image Classification (Q)
|
96% |
4891
913.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7616
123.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8223
133.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7998
129.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29964
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32068
37.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
31484
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
5056
401.0 IPS |
|
|
Object Detection (HP)
|
100% |
5686
451.0 IPS |
|
|
Object Detection (Q)
|
92% |
5127
409.2 IPS |
|
|
Face Detection (SP)
|
100% |
12967
154.1 IPS |
|
|
Face Detection (HP)
|
100% |
16805
199.7 IPS |
|
|
Face Detection (Q)
|
100% |
13236
157.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22371
172.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24263
186.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
21955
171.5 IPS |
|
|
Style Transfer (SP)
|
100% |
60745
78.1 IPS |
|
|
Style Transfer (HP)
|
100% |
72277
92.9 IPS |
|
|
Style Transfer (Q)
|
96% |
69703
90.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12499
461.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13118
484.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11106
410.1 IPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5541
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5267
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2821
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3198
55.3 IPS |
