Mac16,8
Geekbench AI Score
5786
Single Precision Score
36352
Half Precision Score
48931
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | audax72 |
| Upload Date | November 30 2024 06:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,8 |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| 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% |
2086
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
17294
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
22943
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2487
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23167
375.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32287
523.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18901
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123376
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231053
270.8 IPS |
|
|
Object Detection (SP)
|
100% |
2494
197.8 IPS |
|
|
Object Detection (HP)
|
100% |
19732
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
24101
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4591
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
44583
529.7 IPS |
|
|
Face Detection (Q)
|
100% |
56916
676.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8831
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
111443
858.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
177408
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35562
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
237816
305.7 IPS |
|
|
Style Transfer (Q)
|
96% |
303092
391.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7044
260.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45791
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77649
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4708
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4758
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5791
99.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16223
279.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16870
291.5 IPS |
