Mac16,6
Geekbench AI Score
19006
Single Precision Score
20567
Half Precision Score
18928
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | November 09 2024 01:32 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8854
1.65 KIPS |
|
|
Image Classification (HP)
|
100% |
9136
1.70 KIPS |
|
|
Image Classification (Q)
|
97% |
7763
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16560
268.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18059
292.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18214
295.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
80365
93.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
83230
97.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
78577
92.1 IPS |
|
|
Object Detection (SP)
|
100% |
8597
681.9 IPS |
|
|
Object Detection (HP)
|
100% |
9278
735.9 IPS |
|
|
Object Detection (Q)
|
91% |
7916
632.5 IPS |
|
|
Face Detection (SP)
|
100% |
33675
400.1 IPS |
|
|
Face Detection (HP)
|
100% |
35868
426.2 IPS |
|
|
Face Detection (Q)
|
100% |
27840
330.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
41713
321.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
43622
336.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
36861
288.1 IPS |
|
|
Style Transfer (SP)
|
100% |
184323
236.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201447
259.0 IPS |
|
|
Style Transfer (Q)
|
96% |
187154
241.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25438
939.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26853
991.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21426
791.1 IPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5119
6.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5091
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3156
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2454
42.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3204
55.4 IPS |
