MacBook Pro (16-inch, 2021)
Geekbench AI Score
11073
Single Precision Score
12239
Half Precision Score
11023
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Coin1news |
| Upload Date | December 07 2024 10:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5329
991.1 IPS |
|
|
Image Classification (HP)
|
100% |
5307
987.0 IPS |
|
|
Image Classification (Q)
|
97% |
4710
878.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
10384
168.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10676
173.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10740
174.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
57778
67.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
61372
71.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
56320
66.0 IPS |
|
|
Object Detection (SP)
|
100% |
4605
365.3 IPS |
|
|
Object Detection (HP)
|
100% |
4906
389.2 IPS |
|
|
Object Detection (Q)
|
91% |
4852
387.7 IPS |
|
|
Face Detection (SP)
|
100% |
22589
268.4 IPS |
|
|
Face Detection (HP)
|
100% |
23421
278.3 IPS |
|
|
Face Detection (Q)
|
100% |
17099
203.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
27473
211.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
28535
219.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
23661
184.9 IPS |
|
|
Style Transfer (SP)
|
100% |
98122
126.1 IPS |
|
|
Style Transfer (HP)
|
100% |
122394
157.3 IPS |
|
|
Style Transfer (Q)
|
96% |
114641
147.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17252
637.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17487
645.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14812
546.9 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4016
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4013
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
778
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (Q)
|
98% |
695
12.0 IPS |
