MacBook Pro (16-inch, 2021)
Geekbench AI Score
3664
Single Precision Score
15115
Half Precision Score
14842
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Ricky8109 |
| Upload Date | September 21 2025 05:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
1336
248.4 IPS |
|
|
Image Classification (HP)
|
100% |
6274
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
6105
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8807
142.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9361
151.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10421
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
69897
81.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
64340
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
99% |
7215
574.0 IPS |
|
|
Object Detection (Q)
|
91% |
6776
541.4 IPS |
|
|
Face Detection (SP)
|
100% |
3383
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
13622
161.9 IPS |
|
|
Face Detection (Q)
|
100% |
12981
154.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5723
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
47325
364.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
48012
375.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22122
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
115505
148.5 IPS |
|
|
Style Transfer (Q)
|
96% |
109438
141.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4254
157.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25017
923.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26307
971.4 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4248
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4108
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2823
48.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2826
48.8 IPS |
