MacBook Pro (16-inch, 2021)
Geekbench AI Score
9790
Single Precision Score
9905
Half Precision Score
3108
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 10:37 AM |
| Views | 4 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4613
857.8 IPS |
|
|
Image Classification (HP)
|
100% |
4678
869.9 IPS |
|
|
Image Classification (Q)
|
97% |
3564
665.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
9350
151.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9695
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9206
149.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
56007
65.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
59050
68.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
51841
60.7 IPS |
|
|
Object Detection (SP)
|
100% |
4770
378.3 IPS |
|
|
Object Detection (HP)
|
100% |
4963
393.7 IPS |
|
|
Object Detection (Q)
|
92% |
3942
314.7 IPS |
|
|
Face Detection (SP)
|
100% |
17860
212.2 IPS |
|
|
Face Detection (HP)
|
100% |
18492
219.7 IPS |
|
|
Face Detection (Q)
|
100% |
13165
156.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
25561
196.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
26303
202.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
167.9 IPS |
|
|
Style Transfer (SP)
|
100% |
94913
122.0 IPS |
|
|
Style Transfer (HP)
|
100% |
117895
151.6 IPS |
|
|
Style Transfer (Q)
|
96% |
107909
139.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16720
617.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17165
633.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12723
469.8 IPS |
|
|
Text Classification (SP)
|
100% |
1035
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
723
964.9 IPS |
|
|
Text Classification (Q)
|
93% |
736
988.4 IPS |
|
|
Machine Translation (SP)
|
100% |
937
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
943
16.3 IPS |
