Mac16,8
Geekbench AI Score
5781
Single Precision Score
36953
Half Precision Score
49506
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Technoguide |
| Upload Date | November 09 2024 05:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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
387.9 IPS |
|
|
Image Classification (HP)
|
100% |
17900
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
22557
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23135
375.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32392
525.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18895
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123450
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230908
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
20364
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
23762
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4585
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
44568
529.6 IPS |
|
|
Face Detection (Q)
|
100% |
63907
759.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8873
68.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
112294
865.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
177101
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
35654
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
237467
305.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301894
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7037
259.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46312
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77672
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5134
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5174
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5806
100.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16140
278.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16064
277.6 IPS |
