MacBook Pro (14-inch, 2021)
Geekbench AI Score
3684
Single Precision Score
15298
Half Precision Score
15316
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | whitehatmatt |
| Upload Date | November 15 2024 08:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 3.16 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
6261
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
6010
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9293
150.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10015
162.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11030
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70404
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66811
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
99% |
7262
577.7 IPS |
|
|
Object Detection (Q)
|
91% |
6863
548.3 IPS |
|
|
Face Detection (SP)
|
100% |
3268
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
13985
166.2 IPS |
|
|
Face Detection (Q)
|
100% |
13903
165.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5712
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50451
388.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
50934
398.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22160
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
118514
152.4 IPS |
|
|
Style Transfer (Q)
|
96% |
114693
148.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4359
160.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25097
926.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27757
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3724
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3697
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3357
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3021
52.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3089
53.4 IPS |
