Mac16,5
Geekbench AI Score
23456
Single Precision Score
25979
Half Precision Score
24460
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 13 2025 08:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10201
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
10632
1.98 KIPS |
|
|
Image Classification (Q)
|
96% |
9793
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23440
380.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23954
388.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
22963
372.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
101771
118.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
111671
130.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
106620
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
8661
687.0 IPS |
|
|
Object Detection (HP)
|
100% |
9055
718.2 IPS |
|
|
Object Detection (Q)
|
92% |
8929
712.7 IPS |
|
|
Face Detection (SP)
|
100% |
38657
459.3 IPS |
|
|
Face Detection (HP)
|
100% |
42818
508.8 IPS |
|
|
Face Detection (Q)
|
100% |
35474
421.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
43907
338.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46426
357.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
42574
332.6 IPS |
|
|
Style Transfer (SP)
|
100% |
218865
281.4 IPS |
|
|
Style Transfer (HP)
|
100% |
236829
304.4 IPS |
|
|
Style Transfer (Q)
|
96% |
229678
296.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30322
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30501
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27097
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5621
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5637
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
6520
112.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6739
116.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6759
116.8 IPS |
