Mac16,8
Geekbench AI Score
15662
Single Precision Score
17650
Half Precision Score
15295
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | schammah |
| Upload Date | November 30 2024 08:37 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,8 |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7936
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
8470
1.58 KIPS |
|
|
Image Classification (Q)
|
97% |
7100
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12239
198.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13202
214.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13479
218.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
56967
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59292
69.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
56135
65.8 IPS |
|
|
Object Detection (SP)
|
100% |
7353
583.2 IPS |
|
|
Object Detection (HP)
|
100% |
7906
627.1 IPS |
|
|
Object Detection (Q)
|
91% |
6716
536.7 IPS |
|
|
Face Detection (SP)
|
100% |
26183
311.1 IPS |
|
|
Face Detection (HP)
|
100% |
29043
345.1 IPS |
|
|
Face Detection (Q)
|
100% |
21314
253.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33830
260.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
36350
280.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
29862
233.4 IPS |
|
|
Style Transfer (SP)
|
100% |
124044
159.5 IPS |
|
|
Style Transfer (HP)
|
100% |
135219
173.8 IPS |
|
|
Style Transfer (Q)
|
96% |
128052
165.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23333
861.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24783
915.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20285
749.0 IPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5249
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5219
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2896
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3015
51.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2251
38.9 IPS |
