MacBook Pro (16-inch, 2021)
Geekbench AI Score
10980
Single Precision Score
12728
Half Precision Score
11189
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MysticHaze |
| Upload Date | November 12 2024 03:52 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5107
949.8 IPS |
|
|
Image Classification (HP)
|
100% |
5233
973.2 IPS |
|
|
Image Classification (Q)
|
97% |
4426
826.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
10071
163.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9870
160.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10423
169.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
57088
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
60100
70.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
55247
64.8 IPS |
|
|
Object Detection (SP)
|
100% |
5212
413.4 IPS |
|
|
Object Detection (HP)
|
100% |
5375
426.3 IPS |
|
|
Object Detection (Q)
|
91% |
4654
371.9 IPS |
|
|
Face Detection (SP)
|
100% |
20343
241.7 IPS |
|
|
Face Detection (HP)
|
100% |
22179
263.5 IPS |
|
|
Face Detection (Q)
|
100% |
16259
193.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
26255
202.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27010
208.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
23155
181.0 IPS |
|
|
Style Transfer (SP)
|
100% |
95942
123.3 IPS |
|
|
Style Transfer (HP)
|
100% |
119885
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
112532
145.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16668
615.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17370
641.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13650
504.0 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3951
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4012
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1118
19.3 IPS |
