MacBook Pro (16-inch, 2021)
Geekbench AI Score
11135
Single Precision Score
12586
Half Precision Score
9513
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | AdrienRL |
| Upload Date | August 16 2024 03:45 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
4844
900.9 IPS |
|
|
Image Classification (HP)
|
100% |
4936
917.9 IPS |
|
|
Image Classification (Q)
|
99% |
4233
789.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10071
163.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10381
168.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
9838
159.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
56543
66.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
59974
70.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
52178
61.1 IPS |
|
|
Object Detection (SP)
|
100% |
5049
400.5 IPS |
|
|
Object Detection (HP)
|
100% |
5199
412.4 IPS |
|
|
Object Detection (Q)
|
91% |
4079
326.0 IPS |
|
|
Face Detection (SP)
|
100% |
20748
246.5 IPS |
|
|
Face Detection (HP)
|
100% |
21544
256.0 IPS |
|
|
Face Detection (Q)
|
100% |
14910
177.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25970
200.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26891
207.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
6362
49.2 IPS |
|
|
Style Transfer (SP)
|
100% |
95618
122.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119349
153.4 IPS |
|
|
Style Transfer (Q)
|
100% |
117219
150.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16545
610.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16635
614.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11871
439.8 IPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3771
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3779
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1106
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1440
24.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1373
23.7 IPS |
