Mac16,9
Geekbench AI Score
6043
Single Precision Score
37374
Half Precision Score
50884
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 25 2025 03:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2205
410.0 IPS |
|
|
Image Classification (HP)
|
100% |
17530
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
22139
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2481
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23416
379.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32981
534.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18353
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123145
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
231526
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2718
215.6 IPS |
|
|
Object Detection (HP)
|
100% |
20073
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
25048
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
5351
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
44254
525.8 IPS |
|
|
Face Detection (Q)
|
100% |
63811
758.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9082
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
110020
847.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
178781
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
31713
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232523
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
322459
416.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7104
262.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48786
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79735
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5634
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5621
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
6650
114.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16843
290.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16669
288.1 IPS |
