MacBook Pro (16-inch, 2021)
Geekbench AI Score
3724
Single Precision Score
15789
Half Precision Score
15704
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | zensage42 |
| Upload Date | December 23 2024 04:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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
247.8 IPS |
|
|
Image Classification (HP)
|
100% |
6357
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6135
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9577
155.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10164
164.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11005
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
70113
81.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
65690
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
99% |
7469
594.2 IPS |
|
|
Object Detection (Q)
|
91% |
6984
558.0 IPS |
|
|
Face Detection (SP)
|
100% |
3236
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
13691
162.7 IPS |
|
|
Face Detection (Q)
|
100% |
12944
153.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5893
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50567
389.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
51688
403.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22251
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
119917
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
115567
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4312
159.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25507
941.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27754
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3845
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3875
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3836
66.3 IPS |
