MacBook Pro (16-inch, 2021)
Geekbench AI Score
11397
Single Precision Score
12602
Half Precision Score
11074
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | aminutolo |
| Upload Date | November 20 2024 06:30 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
5101
948.6 IPS |
|
|
Image Classification (HP)
|
100% |
5227
972.0 IPS |
|
|
Image Classification (Q)
|
97% |
4500
839.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
10067
163.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10350
167.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10499
170.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
56807
66.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
60253
70.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
55295
64.8 IPS |
|
|
Object Detection (SP)
|
100% |
5194
412.0 IPS |
|
|
Object Detection (HP)
|
100% |
5344
423.9 IPS |
|
|
Object Detection (Q)
|
91% |
4590
366.8 IPS |
|
|
Face Detection (SP)
|
100% |
21051
250.1 IPS |
|
|
Face Detection (HP)
|
100% |
22233
264.2 IPS |
|
|
Face Detection (Q)
|
100% |
16269
193.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
26225
202.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
27032
208.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
22593
176.6 IPS |
|
|
Style Transfer (SP)
|
100% |
96673
124.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120337
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
113975
147.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16856
622.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16868
622.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13440
496.3 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3908
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3899
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1191
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1054
18.2 IPS |
