Mac16,8
Geekbench AI Score
5798
Single Precision Score
38764
Half Precision Score
51950
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | amadeus_ha |
| Upload Date | November 08 2024 11:30 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,8 |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2101
390.7 IPS |
|
|
Image Classification (HP)
|
100% |
19044
3.54 KIPS |
|
|
Image Classification (Q)
|
97% |
23250
4.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2548
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23126
374.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32354
524.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18949
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123101
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
229336
268.8 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.1 IPS |
|
|
Object Detection (HP)
|
100% |
20660
1.64 KIPS |
|
|
Object Detection (Q)
|
91% |
26308
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4513
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
44747
531.7 IPS |
|
|
Face Detection (Q)
|
100% |
64249
763.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8807
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
106505
820.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
182266
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
35681
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
240250
308.8 IPS |
|
|
Style Transfer (Q)
|
96% |
308029
397.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7111
262.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48181
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81848
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
7246
9.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6285
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5787
99.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17113
294.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17002
293.8 IPS |
