MacBook Pro (16-inch, 2021)
Geekbench AI Score
3743
Single Precision Score
14764
Half Precision Score
14283
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | December 13 2024 02:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| 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% |
1271
236.3 IPS |
|
|
Image Classification (HP)
|
100% |
6862
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6524
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6491
105.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6779
109.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11150
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70361
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65817
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
8000
636.4 IPS |
|
|
Object Detection (Q)
|
91% |
7380
589.7 IPS |
|
|
Face Detection (SP)
|
100% |
3368
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
16187
192.3 IPS |
|
|
Face Detection (Q)
|
100% |
12962
154.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5894
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51018
393.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
53486
418.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22370
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120001
154.3 IPS |
|
|
Style Transfer (Q)
|
96% |
115870
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4358
160.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26012
960.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27829
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4005
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3899
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1902
32.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1888
32.6 IPS |
