Mac16,6
Geekbench AI Score
21140
Single Precision Score
23011
Half Precision Score
19880
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 06:56 PM |
| Views | 10 |
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, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9907
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
9713
1.81 KIPS |
|
|
Image Classification (Q)
|
97% |
8375
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19712
319.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20069
325.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21086
341.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
106303
124.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
109519
127.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102983
120.7 IPS |
|
|
Object Detection (SP)
|
100% |
8820
699.6 IPS |
|
|
Object Detection (HP)
|
100% |
9888
784.3 IPS |
|
|
Object Detection (Q)
|
91% |
8426
673.3 IPS |
|
|
Face Detection (SP)
|
100% |
38434
456.7 IPS |
|
|
Face Detection (HP)
|
100% |
40986
487.0 IPS |
|
|
Face Detection (Q)
|
100% |
30312
360.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
43767
337.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
46685
359.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
39693
310.2 IPS |
|
|
Style Transfer (SP)
|
100% |
218813
281.3 IPS |
|
|
Style Transfer (HP)
|
100% |
235084
302.2 IPS |
|
|
Style Transfer (Q)
|
96% |
215478
278.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29366
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30360
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24788
915.3 IPS |
|
|
Text Classification (SP)
|
100% |
2907
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5195
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5160
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2780
47.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1898
32.8 IPS |
