MacBook Pro (16-inch, 2021)
Geekbench AI Score
9906
Single Precision Score
10037
Half Precision Score
3126
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 12:45 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% |
4647
864.2 IPS |
|
|
Image Classification (HP)
|
100% |
4736
880.8 IPS |
|
|
Image Classification (Q)
|
97% |
3612
674.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9441
153.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9744
158.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9233
149.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
56190
65.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
59628
69.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
52077
61.0 IPS |
|
|
Object Detection (SP)
|
100% |
4859
385.4 IPS |
|
|
Object Detection (HP)
|
100% |
5139
407.6 IPS |
|
|
Object Detection (Q)
|
92% |
4060
324.1 IPS |
|
|
Face Detection (SP)
|
100% |
18355
218.1 IPS |
|
|
Face Detection (HP)
|
100% |
19491
231.6 IPS |
|
|
Face Detection (Q)
|
100% |
13401
159.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25556
196.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
26968
207.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
170.6 IPS |
|
|
Style Transfer (SP)
|
100% |
95514
122.8 IPS |
|
|
Style Transfer (HP)
|
100% |
118303
152.1 IPS |
|
|
Style Transfer (Q)
|
96% |
108661
140.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17115
632.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17270
637.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13230
488.5 IPS |
|
|
Text Classification (SP)
|
100% |
1112
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
734
980.2 IPS |
|
|
Text Classification (Q)
|
93% |
731
981.1 IPS |
|
|
Machine Translation (SP)
|
100% |
891
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
900
15.6 IPS |
