Mac16,9
Geekbench AI Score
23226
Single Precision Score
25766
Half Precision Score
24332
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Ctrl_Creeper |
| Upload Date | August 04 2025 11:06 AM |
| Views | 7 |
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, 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% |
10033
1.87 KIPS |
|
|
Image Classification (HP)
|
100% |
10125
1.88 KIPS |
|
|
Image Classification (Q)
|
96% |
9582
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22982
372.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24337
394.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23046
373.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
105782
123.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
108083
126.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
104700
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
8567
679.5 IPS |
|
|
Object Detection (HP)
|
100% |
9948
789.1 IPS |
|
|
Object Detection (Q)
|
92% |
9480
756.7 IPS |
|
|
Face Detection (SP)
|
100% |
40260
478.4 IPS |
|
|
Face Detection (HP)
|
100% |
41889
497.7 IPS |
|
|
Face Detection (Q)
|
100% |
37151
441.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
44072
339.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47348
364.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
43316
338.3 IPS |
|
|
Style Transfer (SP)
|
100% |
219329
282.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232709
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
219397
283.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30718
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30307
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27374
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5341
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5262
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
6236
107.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6516
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6527
112.8 IPS |
