MacBook Pro (14-inch, 2021)
Geekbench AI Score
3772
Single Precision Score
16452
Half Precision Score
16107
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pu154r |
| Upload Date | November 14 2024 05:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1319
245.3 IPS |
|
|
Image Classification (HP)
|
100% |
6810
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6461
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9740
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10423
169.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11139
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70647
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66627
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
7945
632.0 IPS |
|
|
Object Detection (Q)
|
91% |
7392
590.7 IPS |
|
|
Face Detection (SP)
|
100% |
3258
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
16159
192.0 IPS |
|
|
Face Detection (Q)
|
100% |
13091
155.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5986
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51070
393.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
53214
415.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22319
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
121131
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
116724
150.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4392
162.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25984
959.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28072
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4033
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4015
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3526
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3726
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3868
66.8 IPS |
