Mac16,11
Geekbench AI Score
12637
Single Precision Score
14191
Half Precision Score
12635
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Ricochet |
| Upload Date | November 27 2024 01:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7046
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
7530
1.40 KIPS |
|
|
Image Classification (Q)
|
97% |
6515
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10756
174.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11378
184.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11489
186.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
46262
54.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48281
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
45848
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
6813
540.4 IPS |
|
|
Object Detection (HP)
|
100% |
7332
581.5 IPS |
|
|
Object Detection (Q)
|
91% |
6159
492.2 IPS |
|
|
Face Detection (SP)
|
100% |
24045
285.7 IPS |
|
|
Face Detection (HP)
|
100% |
25308
300.7 IPS |
|
|
Face Detection (Q)
|
100% |
18840
223.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
31949
246.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33590
258.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
27908
218.1 IPS |
|
|
Style Transfer (SP)
|
100% |
105145
135.2 IPS |
|
|
Style Transfer (HP)
|
100% |
114441
147.1 IPS |
|
|
Style Transfer (Q)
|
96% |
108447
139.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18531
684.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18724
691.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15044
555.5 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5311
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5317
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1129
19.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1076
18.6 IPS |
