Mac16,9
Geekbench AI Score
22501
Single Precision Score
25248
Half Precision Score
23209
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 28 2025 04:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
9799
1.82 KIPS |
|
|
Image Classification (HP)
|
100% |
10252
1.91 KIPS |
|
|
Image Classification (Q)
|
96% |
9151
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23384
379.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23769
385.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
22828
370.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
101522
118.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
111320
129.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
106027
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
8946
709.6 IPS |
|
|
Object Detection (HP)
|
100% |
10012
794.1 IPS |
|
|
Object Detection (Q)
|
92% |
9221
736.0 IPS |
|
|
Face Detection (SP)
|
100% |
39079
464.3 IPS |
|
|
Face Detection (HP)
|
100% |
42731
507.7 IPS |
|
|
Face Detection (Q)
|
100% |
35743
424.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
44068
339.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47039
362.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
43435
339.3 IPS |
|
|
Style Transfer (SP)
|
100% |
216431
278.2 IPS |
|
|
Style Transfer (HP)
|
100% |
236188
303.6 IPS |
|
|
Style Transfer (Q)
|
96% |
226990
292.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28537
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
29374
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26131
964.9 IPS |
|
|
Text Classification (SP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5392
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5364
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4749
81.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5155
88.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4496
77.7 IPS |
