Mac16,8
Geekbench AI Score
5759
Single Precision Score
38398
Half Precision Score
51496
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 03:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.49 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
18635
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
24049
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23897
387.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32795
531.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18765
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
124138
144.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232015
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
21295
1.69 KIPS |
|
|
Object Detection (Q)
|
91% |
25581
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4530
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
44261
525.9 IPS |
|
|
Face Detection (Q)
|
100% |
62211
739.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8708
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
111511
859.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
179982
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35103
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
238358
306.4 IPS |
|
|
Style Transfer (Q)
|
96% |
304049
392.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7030
259.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47299
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82513
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6102
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6034
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5756
99.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17434
300.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16531
285.7 IPS |
