Mac16,11
Geekbench AI Score
5778
Single Precision Score
36624
Half Precision Score
49992
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Ricochet |
| Upload Date | December 31 2024 06:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
18410
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
23675
4.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22578
366.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32303
523.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18949
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123601
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231668
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2502
198.4 IPS |
|
|
Object Detection (HP)
|
100% |
20297
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
23776
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4569
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
44654
530.6 IPS |
|
|
Face Detection (Q)
|
100% |
55445
658.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8846
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
108350
834.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
178159
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35398
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
238400
306.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303998
392.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7013
259.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43951
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80798
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4892
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5759
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5789
99.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16793
289.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16565
286.3 IPS |
