MacBook Pro (16-inch, 2021)
Geekbench AI Score
11051
Single Precision Score
12052
Half Precision Score
10908
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | RafaelReverberi |
| Upload Date | November 10 2024 08:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
4807
894.0 IPS |
|
|
Image Classification (HP)
|
100% |
4915
914.1 IPS |
|
|
Image Classification (Q)
|
97% |
4289
800.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9908
160.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10138
164.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10266
166.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
56598
66.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
59866
69.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55041
64.5 IPS |
|
|
Object Detection (SP)
|
100% |
5029
398.9 IPS |
|
|
Object Detection (HP)
|
100% |
5175
410.4 IPS |
|
|
Object Detection (Q)
|
91% |
4560
364.4 IPS |
|
|
Face Detection (SP)
|
100% |
21278
252.8 IPS |
|
|
Face Detection (HP)
|
100% |
21554
256.1 IPS |
|
|
Face Detection (Q)
|
100% |
15933
189.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
25842
199.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26667
205.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
22686
177.3 IPS |
|
|
Style Transfer (SP)
|
100% |
95718
123.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119469
153.6 IPS |
|
|
Style Transfer (Q)
|
96% |
111712
144.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16014
591.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16667
615.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13303
491.2 IPS |
|
|
Text Classification (SP)
|
100% |
2229
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3748
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3722
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1080
18.7 IPS |
