Mac16,9
Geekbench AI Score
6028
Single Precision Score
36629
Half Precision Score
49459
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | whplein |
| Upload Date | December 10 2025 02:00 AM |
| Views | 6 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2197
408.5 IPS |
|
|
Image Classification (HP)
|
100% |
17680
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
20692
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2430
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23072
374.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32079
520.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18535
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122362
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
228977
268.4 IPS |
|
|
Object Detection (SP)
|
100% |
2733
216.8 IPS |
|
|
Object Detection (HP)
|
100% |
19312
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
23844
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
5362
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
44285
526.2 IPS |
|
|
Face Detection (Q)
|
100% |
63105
749.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9060
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
103588
798.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
176568
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
31600
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232573
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
319654
412.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7085
261.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47609
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77214
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5572
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5519
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
6625
114.1 IPS |
|
|
Machine Translation (HP)
|
100% |
15940
274.6 IPS |
|
|
Machine Translation (Q)
|
98% |
15924
275.2 IPS |
