Mac16,8
Geekbench AI Score
5768
Single Precision Score
36679
Half Precision Score
48875
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | XeiyrosDogon |
| Upload Date | November 10 2024 07:47 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2084
387.6 IPS |
|
|
Image Classification (HP)
|
100% |
17611
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
22515
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23184
375.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32463
526.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18989
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123515
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231184
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
100% |
19977
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24024
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4586
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
44754
531.8 IPS |
|
|
Face Detection (Q)
|
100% |
55440
658.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8801
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
106652
821.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
177646
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35487
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
238722
306.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301733
389.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7029
259.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46847
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78810
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5049
6.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5046
6.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5734
98.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16235
279.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16214
280.2 IPS |
