MacBook Pro (16-inch, 2021)
Geekbench AI Score
9719
Single Precision Score
9279
Half Precision Score
8282
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | cconnor |
| Upload Date | August 19 2024 11:36 AM |
| Views | 3 |
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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4790
890.7 IPS |
|
|
Image Classification (HP)
|
100% |
5159
959.4 IPS |
|
|
Image Classification (Q)
|
99% |
4086
762.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
9166
148.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9411
152.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
9084
147.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
55987
65.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
58738
68.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
51621
60.5 IPS |
|
|
Object Detection (SP)
|
100% |
4174
331.1 IPS |
|
|
Object Detection (HP)
|
100% |
4929
391.0 IPS |
|
|
Object Detection (Q)
|
92% |
3880
309.7 IPS |
|
|
Face Detection (SP)
|
100% |
18292
217.3 IPS |
|
|
Face Detection (HP)
|
100% |
18508
219.9 IPS |
|
|
Face Detection (Q)
|
100% |
13312
158.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25484
196.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
26279
202.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
26168
202.3 IPS |
|
|
Style Transfer (SP)
|
100% |
94541
121.5 IPS |
|
|
Style Transfer (HP)
|
100% |
117034
150.4 IPS |
|
|
Style Transfer (Q)
|
100% |
115606
148.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16629
614.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17173
634.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12498
463.0 IPS |
|
|
Text Classification (SP)
|
100% |
1231
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
430
574.0 IPS |
|
|
Text Classification (Q)
|
93% |
478
641.4 IPS |
|
|
Machine Translation (SP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
849
14.7 IPS |
