MacBook Pro (16-inch, 2021)
Geekbench AI Score
9699
Single Precision Score
9836
Half Precision Score
8484
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | compaqdrew |
| Upload Date | August 18 2024 10:42 PM |
| Views | 5 |
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% |
4582
852.1 IPS |
|
|
Image Classification (HP)
|
100% |
4728
879.2 IPS |
|
|
Image Classification (Q)
|
99% |
3986
743.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9169
148.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9347
151.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
8999
145.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
55587
64.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
58791
68.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
51279
60.1 IPS |
|
|
Object Detection (SP)
|
100% |
4772
378.5 IPS |
|
|
Object Detection (HP)
|
100% |
4988
395.6 IPS |
|
|
Object Detection (Q)
|
92% |
3886
310.2 IPS |
|
|
Face Detection (SP)
|
100% |
17907
212.8 IPS |
|
|
Face Detection (HP)
|
100% |
18732
222.6 IPS |
|
|
Face Detection (Q)
|
100% |
11875
141.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25525
196.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
26326
202.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
26343
203.7 IPS |
|
|
Style Transfer (SP)
|
100% |
93391
120.1 IPS |
|
|
Style Transfer (HP)
|
100% |
117271
150.8 IPS |
|
|
Style Transfer (Q)
|
100% |
115150
148.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16948
625.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17116
632.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12704
470.6 IPS |
|
|
Text Classification (SP)
|
100% |
952
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
666
888.5 IPS |
|
|
Text Classification (Q)
|
93% |
636
853.9 IPS |
|
|
Machine Translation (SP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
929
16.1 IPS |
