Mac16,9
Geekbench AI Score
21922
Single Precision Score
24442
Half Precision Score
21848
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | i0ntempest |
| Upload Date | March 14 2025 11:00 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| 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% |
10272
1.91 KIPS |
|
|
Image Classification (HP)
|
100% |
10561
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
8891
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19749
320.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20610
334.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21419
347.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
107219
125.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
110055
128.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103610
121.4 IPS |
|
|
Object Detection (SP)
|
100% |
9165
727.0 IPS |
|
|
Object Detection (HP)
|
100% |
10212
810.0 IPS |
|
|
Object Detection (Q)
|
91% |
8766
700.5 IPS |
|
|
Face Detection (SP)
|
100% |
39107
464.7 IPS |
|
|
Face Detection (HP)
|
100% |
43614
518.2 IPS |
|
|
Face Detection (Q)
|
100% |
31567
375.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
45186
348.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
48106
370.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
40565
317.0 IPS |
|
|
Style Transfer (SP)
|
100% |
222680
286.3 IPS |
|
|
Style Transfer (HP)
|
100% |
240328
308.9 IPS |
|
|
Style Transfer (Q)
|
96% |
219132
282.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30606
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32479
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26789
989.2 IPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5422
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5392
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3504
60.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3535
61.1 IPS |
