MacBook Pro (16-inch, 2021)
Geekbench AI Score
3724
Single Precision Score
13629
Half Precision Score
13960
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | gbenchgs |
| Upload Date | August 16 2024 12:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1333
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
6678
1.24 KIPS |
|
|
Image Classification (Q)
|
99% |
7177
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5886
95.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
5885
95.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11108
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
68621
80.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
64269
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
99% |
7229
575.0 IPS |
|
|
Object Detection (Q)
|
91% |
7384
590.0 IPS |
|
|
Face Detection (SP)
|
100% |
3269
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
11947
142.0 IPS |
|
|
Face Detection (Q)
|
100% |
12503
148.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5878
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
45240
348.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
48311
373.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22319
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
116283
149.5 IPS |
|
|
Style Transfer (Q)
|
100% |
122039
156.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4353
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25422
938.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27194
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2209
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3756
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3710
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3383
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1891
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1887
32.6 IPS |
