Mac16,9
Geekbench AI Score
6045
Single Precision Score
36756
Half Precision Score
49735
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jimmyweee |
| Upload Date | November 23 2025 01:30 AM |
| Views | 9 |
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, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2201
409.3 IPS |
|
|
Image Classification (HP)
|
100% |
16779
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
20594
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23155
375.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32118
520.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18450
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122463
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231181
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2744
217.7 IPS |
|
|
Object Detection (HP)
|
100% |
19310
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
24174
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
5359
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
44088
523.9 IPS |
|
|
Face Detection (Q)
|
100% |
62762
745.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9087
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
103625
798.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
176658
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
31729
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
233429
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
320289
413.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7098
262.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49019
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77697
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5730
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5644
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
6774
116.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16357
281.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16087
278.0 IPS |
