MacBook Pro (16-inch, 2021)
Geekbench AI Score
9944
Single Precision Score
9621
Half Precision Score
8423
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | antonme |
| Upload Date | August 16 2024 01:35 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
4866
904.9 IPS |
|
|
Image Classification (HP)
|
100% |
5000
929.8 IPS |
|
|
Image Classification (Q)
|
99% |
4299
801.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9462
153.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9681
156.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
9259
150.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
56500
65.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
59988
70.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
52637
61.7 IPS |
|
|
Object Detection (SP)
|
100% |
3483
276.3 IPS |
|
|
Object Detection (HP)
|
100% |
5281
418.9 IPS |
|
|
Object Detection (Q)
|
92% |
4130
329.7 IPS |
|
|
Face Detection (SP)
|
100% |
18560
220.5 IPS |
|
|
Face Detection (HP)
|
100% |
19587
232.7 IPS |
|
|
Face Detection (Q)
|
100% |
12366
146.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26936
207.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
28056
216.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
27999
216.5 IPS |
|
|
Style Transfer (SP)
|
100% |
96684
124.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120561
155.0 IPS |
|
|
Style Transfer (Q)
|
100% |
118117
151.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17403
642.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17877
660.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13213
489.5 IPS |
|
|
Text Classification (SP)
|
100% |
1252
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
382
510.5 IPS |
|
|
Text Classification (Q)
|
93% |
412
552.6 IPS |
|
|
Machine Translation (SP)
|
100% |
991
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
934
16.1 IPS |
