MacBook Pro (14-inch, 2021)
Geekbench AI Score
10916
Single Precision Score
12163
Half Precision Score
10678
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dgbrownnt |
| Upload Date | September 19 2024 12:42 AM |
| Views | 2 |
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 (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| 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% |
5134
954.8 IPS |
|
|
Image Classification (HP)
|
100% |
5200
966.9 IPS |
|
|
Image Classification (Q)
|
97% |
3914
730.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
10147
164.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10408
168.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10072
163.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
57070
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
60368
70.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
54073
63.4 IPS |
|
|
Object Detection (SP)
|
100% |
4515
358.1 IPS |
|
|
Object Detection (HP)
|
100% |
5275
418.4 IPS |
|
|
Object Detection (Q)
|
91% |
4225
337.6 IPS |
|
|
Face Detection (SP)
|
100% |
20608
244.9 IPS |
|
|
Face Detection (HP)
|
100% |
22065
262.2 IPS |
|
|
Face Detection (Q)
|
100% |
15202
180.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26355
203.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
27233
209.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
21744
169.9 IPS |
|
|
Style Transfer (SP)
|
100% |
96566
124.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120886
155.4 IPS |
|
|
Style Transfer (Q)
|
96% |
110579
142.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16918
624.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17334
640.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12807
472.9 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3906
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3917
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1167
20.2 IPS |
