MacBook Pro (14-inch, 2021)
Geekbench AI Score
3755
Single Precision Score
16446
Half Precision Score
16299
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | gshaw1967 |
| Upload Date | November 22 2024 12:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
6866
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6734
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9727
157.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10416
168.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11034
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70691
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
66530
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
99% |
7987
635.4 IPS |
|
|
Object Detection (Q)
|
91% |
7511
600.1 IPS |
|
|
Face Detection (SP)
|
100% |
3299
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
16091
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
14945
177.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5925
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51210
394.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
53601
418.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22412
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120758
155.2 IPS |
|
|
Style Transfer (Q)
|
96% |
116538
150.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4351
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25930
957.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27968
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4012
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3892
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3709
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3717
64.2 IPS |
