Mac16,6
Geekbench AI Score
5963
Single Precision Score
35634
Half Precision Score
48678
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 06:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
2138
397.7 IPS |
|
|
Image Classification (HP)
|
100% |
17120
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
22722
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2626
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22597
366.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33161
537.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19156
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122782
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
228466
267.8 IPS |
|
|
Object Detection (SP)
|
100% |
2584
205.0 IPS |
|
|
Object Detection (HP)
|
100% |
18451
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
22594
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
4832
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
43886
521.5 IPS |
|
|
Face Detection (Q)
|
100% |
63539
755.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8914
68.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
110167
848.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
174886
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
37236
47.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232300
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
295169
380.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7171
264.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44644
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
74513
2.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
4790
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5012
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
6117
105.4 IPS |
|
|
Machine Translation (HP)
|
100% |
15684
270.2 IPS |
|
|
Machine Translation (Q)
|
98% |
15680
271.0 IPS |
