Mac16,6
Geekbench AI Score
5968
Single Precision Score
37180
Half Precision Score
50249
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pixelcort |
| Upload Date | November 28 2024 04:55 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2128
395.7 IPS |
|
|
Image Classification (HP)
|
100% |
17452
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22885
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2571
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22716
368.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31424
509.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19183
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123149
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230917
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2567
203.6 IPS |
|
|
Object Detection (HP)
|
100% |
20715
1.64 KIPS |
|
|
Object Detection (Q)
|
91% |
23704
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4800
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
39384
468.0 IPS |
|
|
Face Detection (Q)
|
100% |
64321
764.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9072
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
109295
842.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
176890
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
37136
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232504
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297084
383.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7240
267.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45486
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77027
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6415
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5887
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
6127
105.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17094
294.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17012
294.0 IPS |
