Mac16,9
Geekbench AI Score
5662
Single Precision Score
36975
Half Precision Score
51414
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | lantrix |
| Upload Date | November 25 2025 05:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
2134
396.8 IPS |
|
|
Image Classification (HP)
|
100% |
17075
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
21750
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22717
368.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33603
544.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17901
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122483
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230499
270.2 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.8 IPS |
|
|
Object Detection (HP)
|
100% |
19697
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
24917
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4982
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
45566
541.4 IPS |
|
|
Face Detection (Q)
|
100% |
67610
803.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8913
68.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
110785
853.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
181553
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
27441
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232478
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297426
383.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6115
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45221
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78657
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5701
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6558
8.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
6431
110.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16872
290.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16329
282.2 IPS |
