Mac16,6
Geekbench AI Score
5972
Single Precision Score
36700
Half Precision Score
48678
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 05 2024 09:52 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2139
397.8 IPS |
|
|
Image Classification (HP)
|
100% |
17573
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
22364
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2541
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22720
368.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
31926
517.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19211
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122881
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
230641
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2593
205.6 IPS |
|
|
Object Detection (HP)
|
100% |
18892
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
23317
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
4811
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
44493
528.7 IPS |
|
|
Face Detection (Q)
|
100% |
53139
631.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9077
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
108983
839.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
179178
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
37137
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232616
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
294577
380.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7215
266.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46148
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78261
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5455
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5402
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6107
105.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16843
290.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16409
283.6 IPS |
