MacBook Pro (16-inch, 2021)
Geekbench AI Score
3743
Single Precision Score
14811
Half Precision Score
14642
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jdawson |
| Upload Date | September 29 2024 01:37 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1337
248.6 IPS |
|
|
Image Classification (HP)
|
100% |
6927
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6623
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1584
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6498
105.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6785
110.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11074
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70873
82.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
67482
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.3 IPS |
|
|
Object Detection (HP)
|
99% |
7963
633.5 IPS |
|
|
Object Detection (Q)
|
91% |
7475
597.3 IPS |
|
|
Face Detection (SP)
|
100% |
3345
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
16143
191.8 IPS |
|
|
Face Detection (Q)
|
100% |
14925
177.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5957
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51354
395.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
53584
418.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22075
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
120782
155.3 IPS |
|
|
Style Transfer (Q)
|
96% |
116782
150.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4271
157.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26250
969.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28390
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4009
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3985
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1898
32.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1892
32.7 IPS |
