MacBook Pro (14-inch, 2021)
Geekbench AI Score
9139
Single Precision Score
9513
Half Precision Score
3068
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mitgeek |
| Upload Date | September 10 2024 02:09 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
4564
848.8 IPS |
|
|
Image Classification (HP)
|
100% |
4675
869.3 IPS |
|
|
Image Classification (Q)
|
97% |
3557
663.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9313
151.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9597
155.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9170
148.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
55945
65.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
59117
69.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
52013
60.9 IPS |
|
|
Object Detection (SP)
|
100% |
3024
239.9 IPS |
|
|
Object Detection (HP)
|
100% |
4930
391.1 IPS |
|
|
Object Detection (Q)
|
92% |
3929
313.6 IPS |
|
|
Face Detection (SP)
|
100% |
17942
213.2 IPS |
|
|
Face Detection (HP)
|
100% |
18603
221.0 IPS |
|
|
Face Detection (Q)
|
100% |
13135
156.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25621
197.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26526
204.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
167.3 IPS |
|
|
Style Transfer (SP)
|
100% |
95166
122.3 IPS |
|
|
Style Transfer (HP)
|
100% |
117584
151.2 IPS |
|
|
Style Transfer (Q)
|
96% |
108177
139.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16883
623.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17236
636.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12876
475.5 IPS |
|
|
Text Classification (SP)
|
100% |
989
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
535
714.4 IPS |
|
|
Text Classification (Q)
|
93% |
673
903.1 IPS |
|
|
Machine Translation (SP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
868
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
901
15.6 IPS |
