Mac16,5
Geekbench AI Score
21561
Single Precision Score
23910
Half Precision Score
21459
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Jonesxdaniel |
| Upload Date | November 12 2024 09:38 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| 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% |
9969
1.85 KIPS |
|
|
Image Classification (HP)
|
100% |
10501
1.95 KIPS |
|
|
Image Classification (Q)
|
97% |
8584
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20014
324.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20189
327.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21111
342.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
106798
124.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
109922
128.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
103604
121.4 IPS |
|
|
Object Detection (SP)
|
100% |
9170
727.4 IPS |
|
|
Object Detection (HP)
|
100% |
9977
791.4 IPS |
|
|
Object Detection (Q)
|
91% |
8734
697.9 IPS |
|
|
Face Detection (SP)
|
100% |
37335
443.6 IPS |
|
|
Face Detection (HP)
|
100% |
40155
477.1 IPS |
|
|
Face Detection (Q)
|
100% |
31600
375.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
44011
339.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
46859
361.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
39317
307.3 IPS |
|
|
Style Transfer (SP)
|
100% |
221065
284.2 IPS |
|
|
Style Transfer (HP)
|
100% |
237994
305.9 IPS |
|
|
Style Transfer (Q)
|
96% |
218409
281.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29546
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30763
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26227
968.5 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5385
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5330
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3484
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3541
61.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3330
57.5 IPS |
