Mac16,8
Geekbench AI Score
5795
Single Precision Score
8983
Half Precision Score
6964
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 04:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2096
389.7 IPS |
|
|
Image Classification (HP)
|
100% |
3058
568.7 IPS |
|
|
Image Classification (Q)
|
96% |
2206
412.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3497
56.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3942
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18847
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31657
36.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24178
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2475
196.3 IPS |
|
|
Object Detection (HP)
|
97% |
3826
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
4568
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
7929
94.2 IPS |
|
|
Face Detection (Q)
|
100% |
4661
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8841
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14515
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10435
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35492
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50543
65.0 IPS |
|
|
Style Transfer (Q)
|
96% |
39015
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7065
260.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9626
355.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5403
199.5 IPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5344
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5303
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5769
99.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8835
152.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8822
152.5 IPS |
