Mac16,6
Geekbench AI Score
5959
Single Precision Score
36335
Half Precision Score
49526
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 03:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| Model | Mac16,6 |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2128
395.7 IPS |
|
|
Image Classification (HP)
|
100% |
17484
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22090
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22531
365.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
31589
512.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19218
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123008
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
229926
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2589
205.4 IPS |
|
|
Object Detection (HP)
|
100% |
19313
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
23482
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4834
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
44550
529.3 IPS |
|
|
Face Detection (Q)
|
100% |
64616
767.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9133
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104596
805.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
177404
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
36665
47.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232632
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
297911
384.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7193
265.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45383
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78526
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5289
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5240
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
6050
104.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16474
283.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16771
289.8 IPS |
