Mac16,6
Geekbench AI Score
5984
Single Precision Score
35867
Half Precision Score
49148
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | coryholt |
| Upload Date | November 21 2024 11:13 PM |
| Views | 19 |
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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2134
396.9 IPS |
|
|
Image Classification (HP)
|
100% |
17023
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
23372
4.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2584
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22610
366.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30914
501.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19185
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123140
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
229572
269.1 IPS |
|
|
Object Detection (SP)
|
100% |
2601
206.3 IPS |
|
|
Object Detection (HP)
|
100% |
19129
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
23176
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
4809
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
44217
525.4 IPS |
|
|
Face Detection (Q)
|
100% |
63701
756.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9110
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104118
802.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
175977
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
37389
48.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232635
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
297430
383.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7206
266.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44857
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77464
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
4996
6.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4986
6.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
6153
106.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16194
278.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16613
287.1 IPS |
