Mac16,9
Geekbench AI Score
5609
Single Precision Score
36810
Half Precision Score
49685
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Ctrl_Creeper |
| Upload Date | August 04 2025 11:08 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2124
395.1 IPS |
|
|
Image Classification (HP)
|
100% |
17061
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
22156
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22738
368.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31313
507.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17813
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122572
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
229401
268.9 IPS |
|
|
Object Detection (SP)
|
100% |
2642
209.6 IPS |
|
|
Object Detection (HP)
|
100% |
19565
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
23607
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4921
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
45229
537.4 IPS |
|
|
Face Detection (Q)
|
100% |
57220
679.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8875
68.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
109645
844.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
177500
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
26516
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
233875
300.6 IPS |
|
|
Style Transfer (Q)
|
96% |
297362
383.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6122
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45479
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79524
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5525
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6146
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6260
107.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16847
290.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16533
285.7 IPS |
