MacBook Pro (14-inch, 2021)
Geekbench AI Score
10514
Single Precision Score
11627
Half Precision Score
10664
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | archuleta24 |
| Upload Date | December 03 2024 11:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
5073
943.4 IPS |
|
|
Image Classification (HP)
|
100% |
5124
952.9 IPS |
|
|
Image Classification (Q)
|
97% |
4505
840.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9651
156.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10348
167.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10271
166.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
56663
66.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
60303
70.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
55418
65.0 IPS |
|
|
Object Detection (SP)
|
100% |
3852
305.5 IPS |
|
|
Object Detection (HP)
|
100% |
4012
318.3 IPS |
|
|
Object Detection (Q)
|
91% |
4571
365.3 IPS |
|
|
Face Detection (SP)
|
100% |
20966
249.1 IPS |
|
|
Face Detection (HP)
|
100% |
21740
258.3 IPS |
|
|
Face Detection (Q)
|
100% |
16124
191.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26099
201.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
27108
208.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
22670
177.2 IPS |
|
|
Style Transfer (SP)
|
100% |
96747
124.4 IPS |
|
|
Style Transfer (HP)
|
100% |
119980
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
112493
145.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16615
613.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17057
629.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13555
500.5 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3915
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3910
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
745
12.9 IPS |
