MacBook Pro (16-inch, 2021)
Geekbench AI Score
3751
Single Precision Score
16100
Half Precision Score
15912
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Liosnel |
| Upload Date | October 13 2024 05:32 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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% |
1328
247.1 IPS |
|
|
Image Classification (HP)
|
100% |
6618
1.23 KIPS |
|
|
Image Classification (Q)
|
96% |
6372
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9711
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10354
167.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11128
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70461
82.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
65502
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
99% |
7840
623.6 IPS |
|
|
Object Detection (Q)
|
91% |
7278
581.5 IPS |
|
|
Face Detection (SP)
|
100% |
3343
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
16094
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
14815
176.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5953
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
50677
390.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
52913
413.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22412
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119941
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
115615
149.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4326
159.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25405
938.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27310
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3732
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3738
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3410
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3556
61.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3577
61.8 IPS |
