FSSMB07 MacBook Pro (16-inch, 2021)
Geekbench AI Score
3696
Single Precision Score
16461
Half Precision Score
16407
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 08 2025 10:46 PM |
| Views | 13 |
| Notes | MacBook Pro (16-inch, 2021) |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1346
250.3 IPS |
|
|
Image Classification (HP)
|
100% |
6862
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6550
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9709
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10439
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11120
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70897
82.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
67393
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
99% |
7973
634.3 IPS |
|
|
Object Detection (Q)
|
91% |
7469
596.8 IPS |
|
|
Face Detection (SP)
|
100% |
3298
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
16138
191.8 IPS |
|
|
Face Detection (Q)
|
100% |
14993
178.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5761
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51666
398.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
54321
424.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21952
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121250
155.9 IPS |
|
|
Style Transfer (Q)
|
96% |
117149
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4323
159.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25724
949.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27844
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3999
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3973
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3190
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3731
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3893
67.3 IPS |
