MacBook Pro (14-inch, 2021)
Geekbench AI Score
10799
Single Precision Score
12049
Half Precision Score
9518
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | highlander |
| Upload Date | September 17 2024 04:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5158
959.1 IPS |
|
|
Image Classification (HP)
|
100% |
5226
971.9 IPS |
|
|
Image Classification (Q)
|
99% |
4480
835.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10342
167.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10560
171.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
10027
162.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
57139
66.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
60802
70.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
53013
62.1 IPS |
|
|
Object Detection (SP)
|
100% |
4489
356.0 IPS |
|
|
Object Detection (HP)
|
100% |
4185
331.9 IPS |
|
|
Object Detection (Q)
|
91% |
3977
317.8 IPS |
|
|
Face Detection (SP)
|
100% |
20021
237.9 IPS |
|
|
Face Detection (HP)
|
100% |
21641
257.1 IPS |
|
|
Face Detection (Q)
|
100% |
15535
184.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26191
201.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
27983
215.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
6449
49.9 IPS |
|
|
Style Transfer (SP)
|
100% |
96541
124.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121646
156.4 IPS |
|
|
Style Transfer (Q)
|
100% |
119790
154.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16948
625.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17507
646.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12613
467.3 IPS |
|
|
Text Classification (SP)
|
100% |
2197
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3912
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3874
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1099
19.0 IPS |
