Mac16,10
Geekbench AI Score
8445
Single Precision Score
10408
Half Precision Score
9247
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 16 2024 03:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4826
897.4 IPS |
|
|
Image Classification (HP)
|
100% |
5018
933.3 IPS |
|
|
Image Classification (Q)
|
97% |
4420
824.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4903
79.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7038
114.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7712
125.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29970
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32219
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
30687
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
5055
401.0 IPS |
|
|
Object Detection (HP)
|
100% |
5554
440.6 IPS |
|
|
Object Detection (Q)
|
91% |
4808
384.2 IPS |
|
|
Face Detection (SP)
|
100% |
12713
151.1 IPS |
|
|
Face Detection (HP)
|
100% |
16637
197.7 IPS |
|
|
Face Detection (Q)
|
100% |
12216
145.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21648
166.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23896
184.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20495
160.2 IPS |
|
|
Style Transfer (SP)
|
100% |
58631
75.4 IPS |
|
|
Style Transfer (HP)
|
100% |
72242
92.9 IPS |
|
|
Style Transfer (Q)
|
96% |
68402
88.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12418
458.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13370
493.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10919
403.2 IPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5485
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5466
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1121
19.3 IPS |
|
|
Machine Translation (Q)
|
98% |
890
15.4 IPS |
