MacBook Pro (16-inch, 2021)
Geekbench AI Score
11314
Single Precision Score
12508
Half Precision Score
10961
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jdawson |
| Upload Date | September 29 2024 01:35 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
5039
937.2 IPS |
|
|
Image Classification (HP)
|
100% |
5081
944.8 IPS |
|
|
Image Classification (Q)
|
97% |
3877
723.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10158
164.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10349
167.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10070
163.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
57017
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
60798
70.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
54036
63.3 IPS |
|
|
Object Detection (SP)
|
100% |
5185
411.3 IPS |
|
|
Object Detection (HP)
|
100% |
5333
423.0 IPS |
|
|
Object Detection (Q)
|
91% |
4212
336.5 IPS |
|
|
Face Detection (SP)
|
100% |
21163
251.5 IPS |
|
|
Face Detection (HP)
|
100% |
22066
262.2 IPS |
|
|
Face Detection (Q)
|
100% |
15358
182.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26251
202.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
27302
210.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
21860
170.8 IPS |
|
|
Style Transfer (SP)
|
100% |
96338
123.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120400
154.8 IPS |
|
|
Style Transfer (Q)
|
96% |
110486
142.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16691
616.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17535
647.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12635
466.6 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3949
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3965
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1097
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1516
26.2 IPS |
