Mac16,5
Geekbench AI Score
21908
Single Precision Score
24210
Half Precision Score
21483
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 07:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| 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% |
10396
1.93 KIPS |
|
|
Image Classification (HP)
|
100% |
10809
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
8637
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19763
320.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20557
333.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21469
348.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
108103
126.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
110877
129.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103438
121.2 IPS |
|
|
Object Detection (SP)
|
100% |
9214
730.9 IPS |
|
|
Object Detection (HP)
|
100% |
10023
795.0 IPS |
|
|
Object Detection (Q)
|
91% |
8627
689.3 IPS |
|
|
Face Detection (SP)
|
100% |
40473
480.9 IPS |
|
|
Face Detection (HP)
|
100% |
40562
482.0 IPS |
|
|
Face Detection (Q)
|
100% |
31816
378.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
44851
345.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46965
361.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
39254
306.8 IPS |
|
|
Style Transfer (SP)
|
100% |
221939
285.3 IPS |
|
|
Style Transfer (HP)
|
100% |
239246
307.6 IPS |
|
|
Style Transfer (Q)
|
96% |
218383
281.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29923
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32360
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26161
966.0 IPS |
|
|
Text Classification (SP)
|
100% |
2971
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5389
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5349
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3475
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3525
60.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3316
57.3 IPS |
