Mac16,9
Geekbench AI Score
23231
Single Precision Score
26099
Half Precision Score
23702
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dtb |
| Upload Date | November 16 2025 10:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10371
1.93 KIPS |
|
|
Image Classification (HP)
|
100% |
10623
1.98 KIPS |
|
|
Image Classification (Q)
|
96% |
9414
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23676
383.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24608
398.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23099
374.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
101976
119.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
111421
130.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
106401
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
9104
722.1 IPS |
|
|
Object Detection (HP)
|
100% |
10018
794.6 IPS |
|
|
Object Detection (Q)
|
92% |
9380
748.7 IPS |
|
|
Face Detection (SP)
|
100% |
39560
470.1 IPS |
|
|
Face Detection (HP)
|
100% |
43448
516.3 IPS |
|
|
Face Detection (Q)
|
100% |
36045
428.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
44649
344.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47818
368.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
43636
340.8 IPS |
|
|
Style Transfer (SP)
|
100% |
218341
280.7 IPS |
|
|
Style Transfer (HP)
|
100% |
235031
302.1 IPS |
|
|
Style Transfer (Q)
|
96% |
228629
295.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29557
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31624
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26970
995.9 IPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5645
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5690
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5362
92.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5766
99.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4674
80.8 IPS |
