Mac16,9
Geekbench AI Score
23381
Single Precision Score
26103
Half Precision Score
24199
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | lantrix |
| Upload Date | November 25 2025 05:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
10563
1.96 KIPS |
|
|
Image Classification (HP)
|
100% |
10707
1.99 KIPS |
|
|
Image Classification (Q)
|
96% |
9451
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22997
372.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23802
385.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
22703
368.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
105870
123.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
107918
125.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
104667
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
8662
687.1 IPS |
|
|
Object Detection (HP)
|
100% |
10654
845.1 IPS |
|
|
Object Detection (Q)
|
92% |
9803
782.5 IPS |
|
|
Face Detection (SP)
|
100% |
41682
495.3 IPS |
|
|
Face Detection (HP)
|
100% |
44651
530.5 IPS |
|
|
Face Detection (Q)
|
100% |
36783
437.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
44541
343.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
46579
358.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
43172
337.2 IPS |
|
|
Style Transfer (SP)
|
100% |
219612
282.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234003
300.8 IPS |
|
|
Style Transfer (Q)
|
96% |
220329
284.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29350
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
29941
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26412
975.3 IPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5383
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5292
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
6257
107.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6392
110.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6398
110.6 IPS |
