Mac16,9
Geekbench AI Score
20937
Single Precision Score
23272
Half Precision Score
21702
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 17 2025 11:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
9210
1.71 KIPS |
|
|
Image Classification (HP)
|
100% |
9657
1.80 KIPS |
|
|
Image Classification (Q)
|
96% |
8891
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20180
327.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21039
341.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19838
321.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
79545
92.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
84463
98.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
83087
97.3 IPS |
|
|
Object Detection (SP)
|
100% |
8305
658.8 IPS |
|
|
Object Detection (HP)
|
100% |
9418
747.0 IPS |
|
|
Object Detection (Q)
|
92% |
8535
681.2 IPS |
|
|
Face Detection (SP)
|
100% |
34343
408.1 IPS |
|
|
Face Detection (HP)
|
100% |
35432
421.0 IPS |
|
|
Face Detection (Q)
|
100% |
31287
371.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
43510
335.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
44391
342.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
40092
313.2 IPS |
|
|
Style Transfer (SP)
|
100% |
184812
237.6 IPS |
|
|
Style Transfer (HP)
|
100% |
202150
259.9 IPS |
|
|
Style Transfer (Q)
|
96% |
193694
250.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27411
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
25798
952.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22731
839.3 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5345
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5311
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5948
102.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6578
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6319
109.2 IPS |
