Mac16,5
Geekbench AI Score
21418
Single Precision Score
23711
Half Precision Score
21278
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | puttin |
| Upload Date | November 12 2024 04:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9960
1.85 KIPS |
|
|
Image Classification (HP)
|
100% |
10063
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
8568
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19133
310.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20332
329.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20920
339.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
106593
124.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
109584
127.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102867
120.6 IPS |
|
|
Object Detection (SP)
|
100% |
8992
713.3 IPS |
|
|
Object Detection (HP)
|
100% |
9945
788.9 IPS |
|
|
Object Detection (Q)
|
91% |
8662
692.1 IPS |
|
|
Face Detection (SP)
|
100% |
38193
453.8 IPS |
|
|
Face Detection (HP)
|
100% |
40445
480.6 IPS |
|
|
Face Detection (Q)
|
100% |
31600
375.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
43834
337.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46319
356.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
38907
304.1 IPS |
|
|
Style Transfer (SP)
|
100% |
218755
281.2 IPS |
|
|
Style Transfer (HP)
|
100% |
238871
307.1 IPS |
|
|
Style Transfer (Q)
|
96% |
216295
279.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29555
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30749
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25756
951.1 IPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5295
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5268
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3458
59.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3302
57.1 IPS |
