Mac Studio (2023)
Geekbench AI Score
16724
Single Precision Score
17957
Half Precision Score
16215
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mrgnw |
| Upload Date | December 26 2024 07:20 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,14 |
| Motherboard | Mac14,14 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6247
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6293
1.17 KIPS |
|
|
Image Classification (Q)
|
97% |
5559
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16206
262.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16559
268.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
17018
275.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
106683
124.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
111329
129.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102367
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
6235
494.5 IPS |
|
|
Object Detection (HP)
|
100% |
6297
499.5 IPS |
|
|
Object Detection (Q)
|
91% |
5574
445.4 IPS |
|
|
Face Detection (SP)
|
100% |
32621
387.6 IPS |
|
|
Face Detection (HP)
|
100% |
32228
382.9 IPS |
|
|
Face Detection (Q)
|
100% |
24195
287.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33141
255.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35037
269.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
30550
238.8 IPS |
|
|
Style Transfer (SP)
|
100% |
196370
252.4 IPS |
|
|
Style Transfer (HP)
|
100% |
201906
259.6 IPS |
|
|
Style Transfer (Q)
|
96% |
187275
241.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24179
892.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24737
913.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20042
740.1 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4050
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2152
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2080
35.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2072
35.8 IPS |
