MacBook Pro (14-inch, 2021)
Geekbench AI Score
3613
Single Precision Score
15419
Half Precision Score
15323
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sri |
| Upload Date | December 26 2024 08:12 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
1328
246.9 IPS |
|
|
Image Classification (HP)
|
100% |
6294
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
6114
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9457
153.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10008
162.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10302
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69869
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
66306
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1525
121.0 IPS |
|
|
Object Detection (HP)
|
99% |
7122
566.6 IPS |
|
|
Object Detection (Q)
|
91% |
6759
540.0 IPS |
|
|
Face Detection (SP)
|
100% |
3210
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
14416
171.3 IPS |
|
|
Face Detection (Q)
|
100% |
13299
158.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5603
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
49170
378.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
51143
399.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21788
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
118114
151.8 IPS |
|
|
Style Transfer (Q)
|
96% |
113793
146.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4249
156.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24963
921.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26975
996.1 IPS |
|
|
Text Classification (SP)
|
100% |
2122
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3637
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3636
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3175
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3430
59.3 IPS |
