FSSMB07 MacBook Pro (16-inch, 2021)
Geekbench AI Score
11955
Single Precision Score
13284
Half Precision Score
12249
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 08 2025 10:43 PM |
| Views | 8 |
| Notes | MacBook Pro (16-inch, 2021) |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
5463
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
5119
952.0 IPS |
|
|
Image Classification (Q)
|
96% |
4747
886.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
11621
188.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12113
196.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11413
185.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
56945
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
62108
72.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
59321
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
5158
409.1 IPS |
|
|
Object Detection (HP)
|
100% |
5290
419.6 IPS |
|
|
Object Detection (Q)
|
92% |
4959
395.9 IPS |
|
|
Face Detection (SP)
|
100% |
21139
251.2 IPS |
|
|
Face Detection (HP)
|
100% |
21937
260.7 IPS |
|
|
Face Detection (Q)
|
100% |
18825
223.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26217
202.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
27490
211.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
25531
199.4 IPS |
|
|
Style Transfer (SP)
|
100% |
96928
124.6 IPS |
|
|
Style Transfer (HP)
|
100% |
121571
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
118423
152.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16635
614.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17713
654.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15396
568.5 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3970
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3948
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1630
28.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1379
23.8 IPS |
