Mac16,9
Geekbench AI Score
6012
Single Precision Score
36385
Half Precision Score
49429
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 08 2025 05:31 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2194
408.0 IPS |
|
|
Image Classification (HP)
|
100% |
16694
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
21019
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2450
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22505
364.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31474
510.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18279
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122460
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230396
270.0 IPS |
|
|
Object Detection (SP)
|
100% |
2691
213.4 IPS |
|
|
Object Detection (HP)
|
100% |
19403
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
23772
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
5315
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
44217
525.4 IPS |
|
|
Face Detection (Q)
|
100% |
63065
749.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9089
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104417
804.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
175643
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
31692
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232159
298.4 IPS |
|
|
Style Transfer (Q)
|
96% |
318260
410.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7101
262.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47584
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76958
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5610
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5589
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6626
114.1 IPS |
|
|
Machine Translation (HP)
|
100% |
15923
274.3 IPS |
|
|
Machine Translation (Q)
|
98% |
15848
273.9 IPS |
