FSSMB07 MacBook Pro (16-inch, 2021)
Geekbench AI Score
3675
Single Precision Score
5769
Half Precision Score
4680
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 08 2025 10:39 PM |
| Views | 12 |
| Notes | MacBook Pro (16-inch, 2021) |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
2013
374.3 IPS |
|
|
Image Classification (Q)
|
96% |
1516
283.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2264
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2598
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11008
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21946
25.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16985
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
97% |
2312
184.1 IPS |
|
|
Object Detection (Q)
|
94% |
1729
137.8 IPS |
|
|
Face Detection (SP)
|
100% |
3262
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
4923
58.5 IPS |
|
|
Face Detection (Q)
|
100% |
3092
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5717
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10337
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7061
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21991
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31765
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
25938
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4322
159.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5709
210.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4074
150.4 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4008
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3984
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3184
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4775
82.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4743
82.0 IPS |
