Mac16,9
Geekbench AI Score
20095
Single Precision Score
22594
Half Precision Score
20852
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 28 2025 10:05 PM |
| Views | 5 |
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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8907
1.66 KIPS |
|
|
Image Classification (HP)
|
100% |
9262
1.72 KIPS |
|
|
Image Classification (Q)
|
96% |
8542
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19503
316.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20363
330.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19888
322.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
76994
89.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
87377
102.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
84209
98.6 IPS |
|
|
Object Detection (SP)
|
100% |
8568
679.6 IPS |
|
|
Object Detection (HP)
|
100% |
9293
737.1 IPS |
|
|
Object Detection (Q)
|
92% |
8658
691.1 IPS |
|
|
Face Detection (SP)
|
100% |
34389
408.6 IPS |
|
|
Face Detection (HP)
|
100% |
38203
453.9 IPS |
|
|
Face Detection (Q)
|
100% |
31428
373.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
41615
320.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
43976
338.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
39652
309.7 IPS |
|
|
Style Transfer (SP)
|
100% |
180088
231.5 IPS |
|
|
Style Transfer (HP)
|
100% |
197678
254.1 IPS |
|
|
Style Transfer (Q)
|
96% |
195749
252.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24761
914.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25364
936.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22142
817.6 IPS |
|
|
Text Classification (SP)
|
100% |
3119
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
5349
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5290
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4709
81.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5025
86.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4392
75.9 IPS |
