MacBook Pro (14-inch, 2021)
Geekbench AI Score
10649
Single Precision Score
11857
Half Precision Score
10446
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sri |
| Upload Date | December 26 2024 08:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4655
865.8 IPS |
|
|
Image Classification (HP)
|
100% |
4669
868.2 IPS |
|
|
Image Classification (Q)
|
97% |
4040
753.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9767
158.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10157
164.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10234
165.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
55953
65.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
59738
69.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
54423
63.8 IPS |
|
|
Object Detection (SP)
|
100% |
4396
348.7 IPS |
|
|
Object Detection (HP)
|
100% |
4871
386.4 IPS |
|
|
Object Detection (Q)
|
91% |
4267
341.0 IPS |
|
|
Face Detection (SP)
|
100% |
20450
243.0 IPS |
|
|
Face Detection (HP)
|
100% |
20724
246.2 IPS |
|
|
Face Detection (Q)
|
100% |
15316
182.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
25270
194.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
26752
206.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
22156
173.2 IPS |
|
|
Style Transfer (SP)
|
100% |
94327
121.3 IPS |
|
|
Style Transfer (HP)
|
100% |
117589
151.2 IPS |
|
|
Style Transfer (Q)
|
96% |
109152
140.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15657
578.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16211
598.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13212
487.9 IPS |
|
|
Text Classification (SP)
|
100% |
2124
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3645
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3570
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
923
15.9 IPS |
