Mac16,9
Geekbench AI Score
24132
Single Precision Score
27036
Half Precision Score
24532
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 25 2025 03:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | Mac16,9 |
| 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% |
10821
2.01 KIPS |
|
|
Image Classification (HP)
|
100% |
11052
2.06 KIPS |
|
|
Image Classification (Q)
|
96% |
10055
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23946
388.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
25004
405.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23678
383.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
103335
120.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
113155
132.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
108197
126.7 IPS |
|
|
Object Detection (SP)
|
100% |
9629
763.8 IPS |
|
|
Object Detection (HP)
|
100% |
10386
823.8 IPS |
|
|
Object Detection (Q)
|
92% |
9804
782.6 IPS |
|
|
Face Detection (SP)
|
100% |
41686
495.3 IPS |
|
|
Face Detection (HP)
|
100% |
45357
538.9 IPS |
|
|
Face Detection (Q)
|
100% |
37647
447.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
45825
353.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
48852
376.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
44595
348.3 IPS |
|
|
Style Transfer (SP)
|
100% |
223552
287.4 IPS |
|
|
Style Transfer (HP)
|
100% |
241952
311.0 IPS |
|
|
Style Transfer (Q)
|
96% |
234648
302.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31156
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31912
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27583
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5719
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5721
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
6029
103.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6567
113.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5029
86.9 IPS |
