Mac16,9
Geekbench AI Score
21386
Single Precision Score
23825
Half Precision Score
21372
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sellen |
| Upload Date | March 12 2025 08:04 PM |
| Views | 8 |
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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10045
1.87 KIPS |
|
|
Image Classification (HP)
|
100% |
10448
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
8782
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19203
311.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20800
337.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21332
345.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
106851
124.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
109878
128.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
103519
121.3 IPS |
|
|
Object Detection (SP)
|
100% |
9345
741.3 IPS |
|
|
Object Detection (HP)
|
100% |
10077
799.3 IPS |
|
|
Object Detection (Q)
|
91% |
8627
689.4 IPS |
|
|
Face Detection (SP)
|
100% |
39716
471.9 IPS |
|
|
Face Detection (HP)
|
100% |
41831
497.0 IPS |
|
|
Face Detection (Q)
|
100% |
31284
371.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
44399
342.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
47027
362.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
40273
314.8 IPS |
|
|
Style Transfer (SP)
|
100% |
219836
282.6 IPS |
|
|
Style Transfer (HP)
|
100% |
236801
304.4 IPS |
|
|
Style Transfer (Q)
|
96% |
217536
280.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29797
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32359
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26642
983.8 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5434
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5455
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3022
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2990
51.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2984
51.6 IPS |
