MacBook Pro (16-inch, 2021)
Geekbench AI Score
3800
Single Precision Score
15880
Half Precision Score
15671
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | January 06 2025 10:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1354
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
6703
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6400
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9671
156.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10275
166.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11029
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70077
81.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
66229
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1592
126.3 IPS |
|
|
Object Detection (HP)
|
99% |
7656
609.0 IPS |
|
|
Object Detection (Q)
|
91% |
7131
569.8 IPS |
|
|
Face Detection (SP)
|
100% |
3285
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
13759
163.5 IPS |
|
|
Face Detection (Q)
|
100% |
12334
146.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6025
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50572
389.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
52418
409.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22510
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119576
153.7 IPS |
|
|
Style Transfer (Q)
|
96% |
115029
148.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4436
163.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26281
970.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28206
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4006
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4038
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3473
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3348
57.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3397
58.7 IPS |
