MacBook Pro (16-inch, 2021)
Geekbench AI Score
10171
Single Precision Score
11291
Half Precision Score
10987
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | andrewtch |
| Upload Date | March 24 2025 01:54 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5050
939.1 IPS |
|
|
Image Classification (HP)
|
100% |
4973
924.9 IPS |
|
|
Image Classification (Q)
|
97% |
4485
837.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
10030
162.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10287
166.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10540
170.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
56803
66.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
60411
70.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
55217
64.7 IPS |
|
|
Object Detection (SP)
|
100% |
3246
257.5 IPS |
|
|
Object Detection (HP)
|
100% |
3497
277.4 IPS |
|
|
Object Detection (Q)
|
91% |
4645
371.2 IPS |
|
|
Face Detection (SP)
|
100% |
14877
176.8 IPS |
|
|
Face Detection (HP)
|
100% |
15485
184.0 IPS |
|
|
Face Detection (Q)
|
100% |
16619
197.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26266
202.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27175
209.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
23166
181.1 IPS |
|
|
Style Transfer (SP)
|
100% |
96541
124.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120090
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
113036
145.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17030
628.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17375
641.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13719
506.6 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3961
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3953
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
896
15.5 IPS |
