MacBook Pro (M4 Pro) Mac16,8
Geekbench AI Score
5779
Single Precision Score
8913
Half Precision Score
6861
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | December 20 2024 09:54 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2084
387.5 IPS |
|
|
Image Classification (HP)
|
100% |
3030
563.5 IPS |
|
|
Image Classification (Q)
|
96% |
2200
410.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3554
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3914
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18976
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30713
35.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
23812
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
97% |
3812
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2661
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
4554
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
7792
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
4605
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8836
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14308
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9947
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35821
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
50534
65.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38819
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7021
259.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9531
351.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5258
194.2 IPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5311
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5161
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5778
99.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8806
152.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8789
151.9 IPS |
