MacBook Pro (14-inch, 2021)
Geekbench AI Score
3756
Single Precision Score
14758
Half Precision Score
14563
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | semperfidelis316 |
| Upload Date | September 22 2024 03:49 AM |
| Views | 4 |
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 (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1326
246.6 IPS |
|
|
Image Classification (HP)
|
100% |
6897
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6553
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6463
104.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6790
110.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11045
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70226
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65827
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
99% |
7910
629.2 IPS |
|
|
Object Detection (Q)
|
91% |
7475
597.3 IPS |
|
|
Face Detection (SP)
|
100% |
3378
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
16100
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
15031
178.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5858
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51508
396.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
53472
417.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22262
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
120747
155.2 IPS |
|
|
Style Transfer (Q)
|
96% |
116604
150.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4349
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26118
964.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28277
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3997
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3921
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3421
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1887
32.6 IPS |
