Mac16,11
Geekbench AI Score
5764
Single Precision Score
37390
Half Precision Score
50245
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | November 09 2024 12:20 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
17855
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
22569
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23077
374.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32623
528.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18944
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123459
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
229777
269.3 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
19998
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24917
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4583
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
45270
537.9 IPS |
|
|
Face Detection (Q)
|
100% |
63905
759.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8875
68.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
110434
850.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
182722
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
35462
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
238712
306.9 IPS |
|
|
Style Transfer (Q)
|
96% |
304638
393.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7073
261.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46431
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79881
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5727
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5152
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5699
98.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16542
284.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16618
287.2 IPS |
