Mac16,7
Geekbench AI Score
5764
Single Precision Score
8847
Half Precision Score
6846
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Rpalon |
| Upload Date | November 15 2024 02:27 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,7 |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2088
388.4 IPS |
|
|
Image Classification (HP)
|
100% |
3035
564.4 IPS |
|
|
Image Classification (Q)
|
96% |
2190
408.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3447
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3926
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18956
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31003
36.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
23834
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2492
197.7 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2658
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
4523
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
7737
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4649
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8845
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14288
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9903
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35614
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
50273
64.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38542
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7011
258.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9509
351.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5183
191.4 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5166
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5219
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5761
99.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8689
150.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8660
149.7 IPS |
